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Low light and over exposed Image Enhancement using Weight Matrix Technique

Premanand Ghadekar, Rohit Kale, Nikhil Agrawal, Atharva Pophale, Saurabh Rudrawar
<span title="2020-10-15">2020</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
This paper recommends an image contrast algorithm to produce a certain improvement of contrast. Specifically, the weight matrix for image fusion using illumination estimation techniques is designed.  ...  Next, algorithm tend to find the most effective exposure ratio so the artificial image is well-exposed within the regions wherever the first image under-exposed.  ...  CONCLUSION In this paper, the model proposes an exposure fusion framework and an enhancement algorithm to provide contrast enhancement.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2020920793">doi:10.5120/ijca2020920793</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3imv4umhbzbwpdvhmm3db3troi">fatcat:3imv4umhbzbwpdvhmm3db3troi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201210184754/https://www.ijcaonline.org/archives/volume175/number25/ghadekar-2020-ijca-920793.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/de/31/de311dade317491725063eeb68a7b3c4ed6e3bf1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2020920793"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A variational-based fusion model for non-uniform illumination image enhancement via contrast optimization and color correction

Qi-Chong Tian, Laurent D. Cohen
<span title="">2018</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/63drx5tykbartetpkracmzzfwu" style="color: black;">Signal Processing</a> </i> &nbsp;
First, a huepreserving global contrast adaptive enhancement algorithm obtains a globally enhanced image.  ...  Second, a hue-preserving local contrast adaptive enhancement method produces a locally enhanced image.  ...  Acknowledgments We would like to sincerely thank Vassilios Vonikakis for sharing the test images and permitting us to use their images in this paper.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.sigpro.2018.07.022">doi:10.1016/j.sigpro.2018.07.022</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/otjvlm3vhfendlajy66j5hab4y">fatcat:otjvlm3vhfendlajy66j5hab4y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190502015821/https://www.ceremade.dauphine.fr/~cohen/mypapers/QiChongTianSignal%20Processing_2018December.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/94/e4/94e4b190bf539f5c6334a03cd53bf9d0f34685f9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.sigpro.2018.07.022"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Global and Local Contrast Adaptive Enhancement for Non-uniform Illumination Color Images

Qi-Chong Tian, Laurent D. Cohen
<span title="">2017</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6s36fqp6q5hgpdq2scjq3sfu6a" style="color: black;">2017 IEEE International Conference on Computer Vision Workshops (ICCVW)</a> </i> &nbsp;
Firstly, a novel global contrast adaptive enhancement algorithm obtains the global enhancement image.  ...  Secondly, a huepreserving local contrast adaptive enhancement algorithm produces the local enhancement image.  ...  Contrast-Brightness-based Fusion Inspired by the idea of exposure fusion [18] and fusionbased dehazing [1] , we develop a contrast-brightness-based fusion framework to obtain the final enhanced image  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccvw.2017.357">doi:10.1109/iccvw.2017.357</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/iccvw/TianC17.html">dblp:conf/iccvw/TianC17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/o6hsgt2jhzgzbgqut3a2viabom">fatcat:o6hsgt2jhzgzbgqut3a2viabom</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180107185214/http://openaccess.thecvf.com:80/content_ICCV_2017_workshops/papers/w43/Tian_Global_and_Local_ICCV_2017_paper.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5e/25/5e253880157fc5ff8a67808771137099642286d4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccvw.2017.357"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Non-Uniform Illumination and Low Light Image Enhancement Techniques: An Exhaustive Study

Aashi Singh Bhadouria
<span title="2022-02-28">2022</span> <i title="International Journal for Research in Applied Science and Engineering Technology (IJRASET)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hsp44774azcezeyiq4kuzpfh5a" style="color: black;">International Journal for Research in Applied Science and Engineering Technology</a> </i> &nbsp;
The methods used for enhancement of low illumination must perform, preserving details, contrast improvement, color correction, noise reduction, image enhancement, restoration, etc.  ...  Low-illumination or night image enhancement algorithms can advance the visual quality of low-light images and these images can be used in many practical application's artificial intelligence and computer  ...  To reduce distortions, we propose a new improvement framework that uses the response characteristics of the cameras.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2022.40385">doi:10.22214/ijraset.2022.40385</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bvoc2xqnyzfipptmknop3fkepm">fatcat:bvoc2xqnyzfipptmknop3fkepm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220427012809/https://www.ijraset.com/best-journal/nonuniform-illumination-and-low-light-image-enhancement-techniques" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/10/14/101498da9a5c3ab13fef859f9e577406c8ec8a3a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2022.40385"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Detail Enhanced Multi-Exposure Image Fusion Based On Edge Preserving Filters

HARBINDER SINGH
<span title="2018-03-05">2018</span> <i title="Universitat Autonoma de Barcelona"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tacfpjxccve3bmtvwxtrw3krn4" style="color: black;">ELCVIA Electronic Letters on Computer Vision and Image Analysis</a> </i> &nbsp;
This thesis attempts to develop a novel detail enhanced multi-exposure image fusion approach, which exploits the edge preserving capability of adaptive filters.  ...  Although DR can be reduced by using a tone-mapping, but this comes at an unavoidable trade-off with increased computational cost.  ...  Conclusion The present thesis proposes three methods to construct a detail enhanced image from a set of multiexposure images by using multi-resolution and single-resolution fusion frameworks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5565/rev/elcvia.1126">doi:10.5565/rev/elcvia.1126</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4v4zkrlpzja37pdk7b7ebhhzvy">fatcat:4v4zkrlpzja37pdk7b7ebhhzvy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719164835/https://ddd.uab.cat/pub/elcvia/elcvia_a2017v16n2/elcvia_a2017v16n2p13.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6f/07/6f07d40ca24d77a5ca28dc5289ba8f0f77bf5039.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5565/rev/elcvia.1126"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Multi-Exposure Image Fusion Based on Weighted Average Adaptive Factor and Local Detail Enhancement

Dou Wang, Chao Xu, Bo Feng, Yunxue Hu, Wei Tan, Ziheng An, Jubao Han, Kai Qian, Qianqian Fang
<span title="2022-06-09">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
In order to adapt to the local brightness and contrast of input image sequences, we propose a new weighted average adaptive factor well-exposure weight evaluation scheme.  ...  To solve this problem, we first propose a standard to determine the brighter and darker regions and then use a fast local Laplacian filter to enhance the image in the region.  ...  • A local detail enhancement method for Laplacian pyramid fusion is proposed, which uses the K-means algorithm to divide the input image sequence into over-exposed images (OEI) and low-exposure images  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12125868">doi:10.3390/app12125868</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/r3sony47i5b75hznijup5sejke">fatcat:r3sony47i5b75hznijup5sejke</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220609175809/https://mdpi-res.com/d_attachment/applsci/applsci-12-05868/article_deploy/applsci-12-05868.pdf?version=1654765690" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/85/b2/85b2bd6981732448da4511f818ba64613d572003.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12125868"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Weighted Least Squares Based Detail Enhanced Exposure Fusion

Harbinder Singh, Vinay Kumar, Sunil Bhooshan
<span title="">2014</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bx2jphuygbdanilkubz4bqd7zq" style="color: black;">ISRN Signal Processing</a> </i> &nbsp;
In this paper we propose a novel technique for exposure fusion in which Weighted Least Squares (WLS) optimization framework is utilized for weight map refinement.  ...  A further advantage of the present technique is that it is well suited for multifocus image fusion.  ...  Acknowledgments The authors would like to thank Jacques Joffre, Adu and Wang, Max Lyons, Slavica Savic, and Eric Reinhard for the permission to use their images.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2014/498762">doi:10.1155/2014/498762</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/linij3uquvhh5iivymdn2scufi">fatcat:linij3uquvhh5iivymdn2scufi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200208115826/http://downloads.hindawi.com/archive/2014/498762.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/82/fd/82fd1cf14c0f307f6e83012cae7cb0c75d5af535.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2014/498762"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

Information measure for performance of image fusion

Guihong Qu, Dali Zhang, Pingfan Yan
<span title="">2002</span> <i title="Institution of Engineering and Technology (IET)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5njumqonprdi3jwzrhnh22m7pm" style="color: black;">Electronics Letters</a> </i> &nbsp;
In this paper we propose a novel technique for exposure fusion in which Weighted Least Squares (WLS) optimization framework is utilized for weight map refinement.  ...  A further advantage of the present technique is that it is well suited for multifocus image fusion.  ...  Acknowledgments The authors would like to thank Jacques Joffre, Adu and Wang, Max Lyons, Slavica Savic, and Eric Reinhard for the permission to use their images.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1049/el:20020212">doi:10.1049/el:20020212</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v4z7nztcj5e5xa7frxdrrxlfq4">fatcat:v4z7nztcj5e5xa7frxdrrxlfq4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190501205231/https://hal.inria.fr/hal-01098118/file/498762.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0a/6c/0a6cadd024858a2a5dc338d5c641140bde8f00b4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1049/el:20020212"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

MSEF-ImgSeg:An Intelligent algorithm for multi scale exposure fusion using image segmentation and GGIF

Hira Kanwal, Maryam Akhtar, Muhammad Assam, Khizra Khalid, Arif Mehmood, Gyu Sang Choi
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
Entropy based filtering algorithm is utilize to exclude the structural element of an image. Shen et al. [4] introduces a new algorithm of exposure fusion.  ...  Therefore, there exists a research gap to design a new algorithm which replaces existing Gaussian pyramid for multi-scale exposure fusion.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3022811">doi:10.1109/access.2020.3022811</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xscvwj65efanfn6or2bjqdjdii">fatcat:xscvwj65efanfn6or2bjqdjdii</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201108192207/https://ieeexplore.ieee.org/ielx7/6287639/6514899/09187797.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e1/9c/e19cdddb4520d0f5f7fae74d958d4113ca26e28f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3022811"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Multi-exposure image fusion: A patch-wise approach

Kede Ma, Zhou Wang
<span title="">2015</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/anlh4tvwprcrtoxv5d4h6a7rye" style="color: black;">2015 IEEE International Conference on Image Processing (ICIP)</a> </i> &nbsp;
We propose a patch-wise approach for multi-exposure image fusion (MEF).  ...  Moreover, the novel patch decomposition allows us to handle RGB color channels jointly and thus produces fused images with more vivid color appearances.  ...  [5] defined contrast, color saturation and well exposure measures to compute W k . The fusion is done in a multiresolution fashion.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icip.2015.7351094">doi:10.1109/icip.2015.7351094</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icip/MaW15.html">dblp:conf/icip/MaW15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mlniyclywvd6vlof53oria5544">fatcat:mlniyclywvd6vlof53oria5544</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829034538/https://ece.uwaterloo.ca/~z70wang/publications/icip15g.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0d/bc/0dbcd45eb10723cefcd3c875372b5678a90ea8f0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icip.2015.7351094"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Single Low-Light Ghost-Free Image Enhancement via Deep Retinex Model

<span title="2021-05-31">2021</span> <i title="Korean Society for Internet Information (KSII)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hupfbobgkvepdnt5g32qxkypsy" style="color: black;">KSII Transactions on Internet and Information Systems</a> </i> &nbsp;
Besides, experiments also demonstrate that the proposed method with the single low-light image can achieve the same effect as multi-exposure image fusion algorithm and no ghost is introduced.  ...  To reduce the noise of the enhanced image and improve the image quality, a superresolution algorithm based on the Laplacian pyramid network is introduced to optimize the image.  ...  [37] proposed a single image contrast enhancement (SICE) method from multi-exposure image sequences. Ren et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3837/tiis.2021.05.013">doi:10.3837/tiis.2021.05.013</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jryiqhgo3rdctooipj6awsn3c4">fatcat:jryiqhgo3rdctooipj6awsn3c4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210603132508/http://itiis.org/digital-library/manuscript/file/24645/TIIS%20Vol%2015,%20No%205-13.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cf/94/cf94be2ce0007336eb18e90abb6de0b936466f13.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3837/tiis.2021.05.013"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A Novel Approach for Detail-Enhanced Exposure Fusion Using Guided Filter

Harbinder Singh, Vinay Kumar, Sunil Bhooshan
<span title="">2014</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nxzqpsogkbe55mjq33syzghf2e" style="color: black;">The Scientific World Journal</a> </i> &nbsp;
In this paper we propose a novel detail-enhancing exposure fusion approach using nonlinear translation-variant filter (NTF).  ...  Exposure, contrast, and saturation measures are considered to generate a mask that guides the fusion process of the base layers.  ...  Figure 1 :Figure 2 : 12 Results of proposed detail-enhanced exposure fusion framework using edge preserving filter. Proposed detail-enhanced exposure fusion framework.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2014/659217">doi:10.1155/2014/659217</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/24683353">pmid:24683353</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3934388/">pmcid:PMC3934388</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kbconeckpfbc5ec47tur3qxfem">fatcat:kbconeckpfbc5ec47tur3qxfem</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190226044355/http://pdfs.semanticscholar.org/6c73/7dbc2c32f7a185cc411ff021314a77f7808a.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6c/73/6c737dbc2c32f7a185cc411ff021314a77f7808a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2014/659217"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3934388" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Enhancing Multi Exposure Images Using Convolution Neural Network

Sunitha Nandhini A, Anjani A L, Indhuja R, Jeevitha D
<span title="2019-03-03">2019</span> <i title="Technoscience Academy"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cwo66igunvdiplkdqwpqsgzpem" style="color: black;">International Journal of Scientific Research in Computer Science Engineering and Information Technology</a> </i> &nbsp;
Thirteen representatives multi-exposure image fusion and stack-based high dynamic vary imaging algorithms are accustomed urge the excellence enhanced footage for each sequence, and subjective experiments  ...  With the constructed data set, a CNN can be easily trained as the SICE enhancer to improve the contrast of an under-/over-exposure image.  ...  Altunbasak, "A histogram modification framework and its application for image contrast enhancement,"  ... 
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Enhanced Robotic Vision System Based on Deep Learning and Image Fusion

E. A. Alabdulkreem, Ahmed Sedik, Abeer D. Algarni, Ghada M. El Banby, Fathi E. Abd El-Samie, Naglaa F. Soliman
<span title="">2022</span> <i title="Computers, Materials and Continua (Tech Science Press)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/amujz7fcqna6do727z6ev3ueo4" style="color: black;">Computers Materials &amp; Continua</a> </i> &nbsp;
This application necessitates image enhancement of both infrared (IR) and visible images. This paper presents a Robot Human Interaction System (RHIS) based on image fusion and deep learning.  ...  Several image enhancement models such as fuzzy logic, Convolutional Neural Network (CNN) and residual network (ResNet) pre-trained model are utilized on the fusion results and they are compared with each  ...  (c) Enhancement of fused images using ResNet. (a) Enhancement of fused images using fuzzy logic. (b) Enhancement of fused images using CNN. (d) Enhancement of fused images using interpolation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32604/cmc.2022.023905">doi:10.32604/cmc.2022.023905</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2df7fjhvorharhqsfjydp6usx4">fatcat:2df7fjhvorharhqsfjydp6usx4</a> </span>
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An Improved Multi-Exposure Image Fusion Method for Intelligent Transportation System

Mingyu Gao, Junfan Wang, Yi Chen, Chenjie Du, Chao Chen, Yu Zeng
<span title="2021-02-04">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ikdpfme5h5egvnwtvvtjrnntyy" style="color: black;">Electronics</a> </i> &nbsp;
Further, a new multi-exposure image dataset for traffic signs, TrafficSign, is presented to verify the method.  ...  The qualitative and quantitative experiments on the new dataset show that the multi-exposure image fusion algorithm proposed in this paper is effective and practical in the ITS.  ...  In addition, we have released a new multi-exposure image data set, which provides a new evaluation option for image fusion. Figure 1 . 1 Multi-exposure image fusion framework.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/electronics10040383">doi:10.3390/electronics10040383</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vbwjp7zvc5colibewxzl5omrpa">fatcat:vbwjp7zvc5colibewxzl5omrpa</a> </span>
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