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An affine symmetric approach to natural image compression

Heechan Park, Abhir Bhalerao, Graham Martin, Andy C. Yu
2006 Proceedings of the 2nd international conference on Mobile multimedia communications - MobiMedia '06  
We approach image compression using an affine symmetric image representation that exploits rotation and scaling as well as the translational redundancy present between image blocks.  ...  This study provides an interesting approach to image compression although the reconstruction quality is slightly below that of some other methods.  ...  CONCLUSION An alternative image compression technique exploiting the affine symmetric redundancy present in natural images has been discussed.  ... 
doi:10.1145/1374296.1374332 dblp:conf/mobimedia/ParkBMY06 fatcat:2tb6v6ldwzehhdpthyl6f3l3ta

An Affine Symmetric Image Model and Its Applications

Heechan Park, Graham R Martin, Abhir Bhalerao
2010 IEEE Transactions on Image Processing  
In addition, the affine symmetric image model poses an interesting approach to address practical problems such as image compression.  ...  Natural images contain considerable self-symmetric redundancy. In this paper, an affine symmetric model is considered for image. It provides a flexible scheme to exploit geometric redundancy.  ...  SUMMARY AND DISCUSSIONS We have described an affine symmetric image model that defines patch-to-patch affine relationships on an image with a uniform lattice.  ... 
doi:10.1109/tip.2010.2045692 pmid:20236894 fatcat:u4psnxeionh4lozpp3fs2akm3a

Low-Complexity, Lossless Volumetric Medical Image Compression with PPM-5& Linear Prediction

Shital Thombare
2016 International Journal of Innovative Research in Computer and Communication Engineering  
cross section of the body part being imaged.These 3-D volumetric medical images are an important source of digital data that need lossless compression to be stored or transmitted.  ...  Proposed system uses a low complexity, lossless, compression algorithm for the compression of 3-D volumetric medical images that exploits the three-dimensional nature of the data by using 3-D linear prediction  ...  L-MILC, 3D-SPIHT, 3D-EZW&approaches for 2-D image compression: CALIC, JPEG-LS and to general purpose scheme as PPMd.  ... 
doi:10.15680/ijircce.2016.0410006 fatcat:4otrxlqnwrbldmt6alcp5o55m4

Iteration less Wavelet-Fractal Image Compression Applicable in Cellular Mobile Communication System

Sheeba K., Abdul Rahiman
2016 International Journal of Computer Applications  
Fractal image compression is a an active area of research with new promising technique that will work very effectively in areas where we have to deal with a huge size of data .In Fractal compression major  ...  Resultant image is resolution independent, which is the one of the properties of fractal image compression.  ...  So this is an excellent tool to highly compress natural images, which shows high degree of self similarity.  ... 
doi:10.5120/ijca2016908543 fatcat:y2bgbhcgxzd75esjlafihylehe

Fractal Coding Using Gradient Direction Based Tag Matrix and Score Value

K. Sheeba, M. Abdul Rahiman
2016 Procedia Computer Science  
Reducing encoding complexity and improving the tradeoff between quality of image and compression ratio are active areas of research in the field of fractal image compression.  ...  In this paper two techniques are proposed to reduce the encoding complexity and to improve the PSNR of the reconstructed image .  ...  All natural images have fractal geometry. So to represent a natural object in compact form, the technique of fractal compression is most suitable.  ... 
doi:10.1016/j.procs.2016.07.231 fatcat:q3typ2df6jchnd5obtksmjpaly

Effective Compression of Center Symmetric Local Binary Pattern

Junaid Baber, Maheen Bakhtyar, Ihsan Ullah, Mariam Rehman, Muhammad Khalid
2017 Mehran University Research Journal of Engineering and Technology  
With default parameters for computation, it is 256-length descriptor for each keypoint or affine patch. CSLBP is an extended form of LBP (Local Binary Patterns).  ...  In this paper, we propose simple and effective compression of CSLBP (Center Symmetric Local Binary Pattern) descriptors, which is a textured based operator and mostly used as key point descriptor.  ...  In this approach, problem of hashing is devised as a problem of graph CSLBP COMPRESSION As explained above, CSLBP is an extension of LBP.  ... 
doi:10.22581/muet1982.1702.01 fatcat:vpmnmhh37ngy7fl6rf74ybr3ga

Fractal image compression

1993 Mathematics and Computers in Simulation  
Data compression with fractals is an approach to reach high compression ratios for large data streams related to images.  ...  Fractal Image Compression is a technique which associates a fractal to an image.  ...  In particular, Iterated Systems, Inc. was formed to commercialize this technology.  ... 
doi:10.1016/0378-4754(93)90080-e fatcat:st324uf42fcvbmmt6dpnlbo2pm

Robust order-based methods for feature description

Raj Gupta, Harshal Patil, Anurag Mittal
2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
In this paper, we propose changes to these approaches to make them robust to Gaussian noise.  ...  We also show how the descriptors can be matched using recently developed more advanced techniques to obtain better matching performance.  ...  Better performance than gradientbased approaches is perhaps due to the more stable nature of the raw intensities compared to raw gradients, especially in the presence of image degradations such as affine  ... 
doi:10.1109/cvpr.2010.5540195 dblp:conf/cvpr/GuptaPM10 fatcat:xwroolyen5cbzodegira3vujky


Gaganpreet Kaur, Hitashi Hitashi, Dr. Gurdev Singh
is doneby considering various types of images and byapplying fractal Image compression to compressan image.  ...  In our algorithm awavelet transform (quadrature mirror filterpyramid) is used to decompose an image intobands containing information from differentscales (spatial frequencies) and orientations.  ...  Psycho visual Redundancy FRACTAL IMAGE COMPRESSION Fractal is one effective method to describe natural modality in the process of transformation and iteration.  ... 
doi:10.24297/ijct.v2i1.2608 fatcat:typzisvmive3lm23xuvm2c72ua

A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors

Shoaib Ehsan, Adrian Clark, Ales Leonardis, Naveed ur Rehman, Ahmad Khaliq, Maria Fasli, Klaus McDonald-Maier
2016 Remote Sensing  
image transformations: JPEG compression, uniform light changes and blurring.  ...  transformation amount by introducing a new variant of McNemar's test in an effort to design more reliable and effective vision systems.  ...  An approach similar to [11] is utilized in [15] for comparing feature detectors. A metric based on visual inspection is employed in [16] for evaluating feature detectors.  ... 
doi:10.3390/rs8110928 fatcat:zsznn53a3bbftghyndwgvnrt5u

Classification of Remote Sensing Images Through Reweighted Sparse Subspace Representation Using Compressed Data

Jianchen Zhu, Shengjie Zhao, Di Wu
2021 Traitement du signal  
This paper attempts to develop a method to cluster spectral images directly using the measurements of compressive coded aperture snapshot spectral imager (CASSI), eliminating the need to reconstruct the  ...  The accuracy of our spectral image clustering approach was verified through simulations on two real datasets.  ...  Simulation results on two spectral image datasets show the proposed approach is up to 7 times faster to achieve similar accuracy than other approaches that cluster the full 3D spectral images. ( ) is an  ... 
doi:10.18280/ts.380103 fatcat:vv5ainbfxrcdjobvxcsywizyuu

Encryption of ultrasound images using the permutation on the (Z/pZ) fields

Y. Benlcouiri, M. C. Ismaili, A. Azizi, M. Benabdellah
2013 Applied Mathematical Sciences  
processed on an image.  ...  In this paper, we propose a new encryption method of still images based on the affine encryption principle to achieve a transposition and perform some manipulations to reduce the quantity of bits to be  ...  [3] In this sense, and in order to optimize and secure transposition and storage of fixed images, we propose a new transposition approach to implement the principles of using affine encryption.  ... 
doi:10.12988/ams.2013.13188 fatcat:yzpnns2p65bidomrh7sqlkzvea

Symmetry Signatures for Image-Based Applications in Robotics [chapter]

Kai Huebner, Jianwei Zhang
2007 Vision Systems: Applications  
It also leads us to marvel at the functioning of our own vision system. In this book we have collected the latest applications of vision research from around the world.  ...  view and JPEG compression) discussed in , panoramic warp is not an affine one.  ...  For our scenario, we prefer an approach that extracts symmetric features from the raw visual data without such pre-processing steps, similar to the work by Reisfeld et al.  ... 
doi:10.5772/5005 fatcat:4h5cazdjsncw7h3ikflupvs4qq

An Image Compression using Multilayer Wavelet Transform with 2DTCWT: A Review

Priya Pareek, Manish Shrivastava
2014 International Journal of Computer Applications  
Image compression is reducingsize of images in bytes of an imagewithout degrading the quality of pixelspresent in images to an unacceptable level.  ...  The wavelet analysis needs addition support for compressing the data so Huffman coding is used along with wavelet analysis of an image in order to compress the data.  ...  This also demonstrates that an arithmetic coding-based approach can be exploited to efficiently compress the encrypted images.  ... 
doi:10.5120/17779-8552 fatcat:p27ahh7cabh3jp4idvym5y235y

Image Compression Overview [chapter]

David S. Taubman, Michael W. Marcellin
2002 JPEG2000 Image Compression Fundamentals, Standards and Practice  
Image compression is associated with removing redundant information of image data.  ...  All such applications are based on image compression. In this paper, therefore presents a research overview of image compression, its techniques with its future scenario.  ...  All compression technique are more effective on artificial images as compare to natural image, gives the high compression ratio.  ... 
doi:10.1007/978-1-4615-0799-4_1 fatcat:ttpvafh3m5a6xirntcvky6daqa
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