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Image quality assessment based on a degradation model

N. Damera-Venkata, T.D. Kite, W.S. Geisler, B.L. Evans, A.C. Bovik
2000 IEEE Transactions on Image Processing  
For additive noise, we demonstrate that the nonlinear NQM is a better measure of visual quality than peak signal-to-noise ratio (PSNR) and linear quality measures. We compute the DM in three steps.  ...  We develop a distortion measure (DM) of the effect of frequency distortion, and a noise quality measure (NQM) of the effect of additive noise.  ...  Based on the model, we develop methods to measure the quality of images and demonstrate how one may use the quality measures in quantifying the performance of image restoration algorithms.  ... 
doi:10.1109/83.841940 pmid:18255436 fatcat:65aqufmzdze3hmxk4ju5cofxti

Iterative Blind Image Motion Deblurring via Learning a No-Reference Image Quality Measure

Wen-Hao Lee, Shang-Hong Lai, Chia-Lun Chen
2007 2007 IEEE International Conference on Image Processing  
Then, we present a novel framework to refine the image restoration iteratively based on recursively adjusting the motion blur parameters for image restoration to achieve the best image quality measure.  ...  In this paper, we propose a learning-based image restoration algorithm for restoring images degraded by uniform motion blurs.  ...  Then we use the learned image quality model to measure the image quality of the restored image and adjust the motion blur parameters iteratively until satisfactory restoration result is obtained.  ... 
doi:10.1109/icip.2007.4380040 dblp:conf/icip/LeeLC07 fatcat:thd4rzodvzbnrk3wuverue4gn4

Noise Estimation using Kalman Filter in Image Restoration

2019 International Journal of Engineering and Advanced Technology  
Image restoration is the one of the technique to recover the original image from the degraded image.  ...  Medical images are used to observe the information related to inside the organs of human body.  ...  RESULTS AND DISCUSSION The goal of this experiment is to enhance the quality of medical image subjectively using kalman filter for image restoration.  ... 
doi:10.35940/ijeat.f1217.0886s219 fatcat:34urajqfc5ethj2piivbhieqfi

Color Image Restoration Using Iterative Mead's Filter

Ayad A. A1-Ani, Mohammed Sahib Mahdi Altaei, Sally Ali Abdul Ameer Alrubaie
2018 Al-Nahrain Journal of Science  
Accordingly, the present work aims to restore the original image using adaptive Mead's algorithm applied on degraded version.  ...  The results are quantitatively and qualitatively compared to the original one using two quality measures, they are: mean squared error (MSE) and cross correlation coefficient (CCC).  ...  Restoration Measurements The image quality measurements that are used to evaluate the proposed restoration method are applied on the resulted restored image comparing with the original image.  ... 
doi:10.22401/anjs.21.4.12 fatcat:kvxjkavclrdnppcne5ucj227cu

Image Motion Measurement and Image Restoration System Based on an Inertial Reference Laser

Ronggang Yue, Humei Wang, Ting Jin, Yuting Gao, Xiaofeng Sun, Tingfei Yan, Jie Zang, Ke Yin, Shitao Wang
2021 Sensors  
By using image motion data to improve image quality, the modulation transfer function (MTF) of the restored image was increased to 1.61–1.88 times that of the original image MTF.  ...  The image motion data could be used as feedback to the fast steering mirror to compensate for the satellite jitter in real time and to directly obtain high-quality images.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21103309 pmid:34064578 fatcat:73fbskdlbbhjbh4du3cb572tsy

Underwater Image Restoration via Contrastive Learning and a Real-world Dataset [article]

Junlin Han, Mehrdad Shoeiby, Tim Malthus, Elizabeth Botha, Janet Anstee, Saeed Anwar, Ran Wei, Mohammad Ali Armin, Hongdong Li, Lars Petersson
2021 arXiv   pre-print
Further, we present a novel method for underwater image restoration based on unsupervised image-to-image translation framework.  ...  of underwater image restoration.  ...  The authors would also like to thank CBRMPA (Great Barrier Reef Marine Park Authority) for permitting us to conduct experiments at the Great Barrier Reef (Permit G18/40267.I).  ... 
arXiv:2106.10718v1 fatcat:5hljepmuibdojj2kuvvgoawei4


Vijayakumar T
2019 Journal of Innovative Image Processing  
The proposed method applies the combined image enhancement and the restoration (CIEIR) on the input skin lesion images and makes it more presentable with the improved quality for the further image processing  ...  the image quality to make the further image processing procedure easy in the identification of the skin cancer.  ...  The evaluation of the methods based on the comparison of the image quality based on the measure of the performance metrics PSNR and the MSE are also discussed in the paper.  ... 
doi:10.36548/jiip.2019.1.001 fatcat:bcu342aabvanlbyspg2rzoawty

No-Reference Image Quality Assessment for Defocus Restoration

Chengshuo Zhang, Zelin Shi, Baoshu Xu, Bin Feng
2016 2016 First International Conference on Multimedia and Image Processing (ICMIP)  
At last, the quality assessment for defocus restoration is modeled as an overall measure by all of the patches structure metric.  ...  The two point sets are used to form patches in restoration image, and image patch structure metric is proposed for those patches to score the local restoration quality.  ...  The goal of image quality assessment for restoration is to enable machine to make an objective judgment on the quality of a restoration that corresponds to a subjective evaluation of the same image by  ... 
doi:10.1109/icmip.2016.8 fatcat:z3vf3zjrfzgphexf2vemsqyzf4

Objectively assessing underwater image quality for the purpose of automated restoration

Weilin Hou, Alan D. Weidemann, Zia-ur Rahman, Stephen E. Reichenbach, Mark A. Neifeld
2007 Visual Information Processing XVI  
Initial restoration results from field measured underwater images based on this approach. SUBJECT TERMS image quality, sharpness, restoration, underwater, MCM, WGSA, MTF, wavelet 16.  ...  Initial restoration results from field measured underwater images based on this approach and weakness of the metric are also presented and discussed.  ...  ACKNOWLEDGEMENTS This research was supported by NRL project 73-6867 "Improved MCM Electro-optic sensor performance using through the sensor adaptive sampling." REFERENCES  ... 
doi:10.1117/12.717789 dblp:conf/spieVIP/HouW07 fatcat:2sezlfdek5g5hhz3qft2tfwbbq

Practical Quality Assessment for Digitized Film Content

Francois Helt, Valerie La Torre
2014 SMPTE Motion Imaging Journal  
This training set may have a lot in com- mon with the one used for the subjective counterpart measure The MOS is replaced here by the ranking obtained on the restored samples using their objective quality  ...  The choice here is to focus on one value based on the quality of the content after restoration. The value is a prediction that does not require us to carry the restoration work.  ... 
doi:10.5594/j18368xy fatcat:77z2qc5hxrgshb4iw7ujtyhqqi

Hybrid Adaptive Image Restoration Method with Pixel Block Estimation and Histogram Equalization

Sukhwinder Singh, Amit Grover
2016 International Journal of Computer Applications  
The process of recovering image from corrupted state is called restoration.  ...  In this paper, the combination of the neighbor based reference model and non-reference image matrix enhancement is proposed for the enhancement of the results.  ...  In this research work PSNR and MSE are used to measure the quality of an image. In this paper the structural similarity used for measure the similarity between two images.  ... 
doi:10.5120/ijca2016911144 fatcat:dmo65nafnzeo5hzudgpbqcjbxu

A cockpit of multiple measures for assessing film restoration quality

Barbara Rita Barricelli, Elena Casiraghi, Michela Lecca, Alice Plutino, Alessandro Rizzi
2020 Pattern Recognition Letters  
set of measuresThe chosen measures describe low-level features of image under test • Tool intended for supporting experts in the movie restoration quality assessment task Pattern Recognition Letters  ...  Research Highlights • An alternative approach for image quality assessment applied to digital movie restoration • Substitutes the limited approach of a single quality value with a wider more informative  ...  Image Quality As claimed in Section 1, the use of only one value for movie quality assessment may not suffice to evaluate effectively the IQ, since the metric often accounts for few visual cues.  ... 
doi:10.1016/j.patrec.2020.01.009 fatcat:f6ccwbfm7zgw7i26jhqsf6xn54

Performance Analysis and Optimization of Linear Restoration in Spatial Domain

Anil L.Wanare, Pratik D. Shah, Dilip D. Shah
2013 International Journal of Computer Applications  
This paper is concerned with critical performance analysis of spatial linear restoration techniques for still images from various fields (Medical, Natural and Arial images).The performances of the linear  ...  the increase of signal to noise ratio (ISNR) measure.  ...  Subjective measure that we used for evaluating the quality of result of restoration tests is mean square error (MSE).  ... 
doi:10.5120/9961-4608 fatcat:6eamdyfnznbuzjqzraqk6wccyu

Effect of kernel size on Wiener and Gaussian image filtering

Zayed M. Ramadan
2019 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
In this paper, the effect of the kernel size of Wiener and Gaussian filters on their image restoration qualities has been studied and analyzed.  ...  Several image quality measuring indices have been applied in the computer simulations.  ...  For quality evaluation of those image filters, several performance measuring indices could be used to measure the similarity or closeness between the restored filtered image and the uncorrupted true image  ... 
doi:10.12928/telkomnika.v17i3.11192 fatcat:t2t2xy53yvftlkl5buc74rmw3i

Blind Deconvolution Based on Compressed Sensing with bi-l0-l2-norm Regularization in Light Microscopy Image

Kyuseok Kim, Ji-Youn Kim
2021 International Journal of Environmental Research and Public Health  
Consequently, the proposed method is expected to be effective for image restoration and to reduce the cost of a high-performance light microscope.  ...  In addition, quantitative factors of the restored images, including the intensity profile, root-mean-square error (RMSE), edge preservation index (EPI), structural similarity index measure (SSIM), and  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijerph18041789 pmid:33673166 pmcid:PMC7917747 fatcat:ef6dsvau35dyxotwp6dm3na27m
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