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Predicting and Optimizing Image Compression

Oleksandr Murashko, John Thomson, Hugh Leather
2016 Proceedings of the 2016 ACM on Multimedia Conference - MM '16  
Predicting the effectiveness of standard compression implementations like libjpeg and WebP on a novel image is challenging, and often leads to non-optimal compression.  ...  Using this model, we can actively adapt the aggressiveness of compression on a per image basis to accurately fit user requirements, leading to a more optimal compression.  ...  RESULTS We present results in terms of the accuracy of predictions, and in real-world use case scenarios where we use the models to actually find optimal compression parameters.  ... 
doi:10.1145/2964284.2967305 dblp:conf/mm/MurashkoTL16 fatcat:piqckxe7prbr7a4ptqnfpvb4aa

Lossless image compression based on optimal prediction, adaptive lifting, and conditional arithmetic coding

N.V. Boulgouris, D. Tzovaras, M.G. Strintzis
2001 IEEE Transactions on Image Processing  
The optimal predictors of a lifting scheme in the general -dimensional case are obtained and applied for the lossless compression of still images using first quincunx sampling and then simple row-column  ...  We further investigate context modeling and adaptive arithmetic coding of wavelet coefficients in a lossless compression framework.  ...  In Section V the optimal prediction filters for separable lattices are determined and synthesis filters are derived for the optimal production of intermediate images in progressive coding.  ... 
doi:10.1109/83.892438 pmid:18249592 fatcat:6iqdwf4g6bczzbrhwwnooaqppm

Lossless Compression of Hyperspectral Images Based on Searching Optimal Multibands for Prediction

Chengfu Huo, Rong Zhang, Tianxiang Peng
2009 IEEE Geoscience and Remote Sensing Letters  
Second, multibands which have strong correlations to each chosen band are found out and are then used to predict the chosen band in a couple-group manner.  ...  This letter presents a lossless compression algorithm for hyperspectral images, which is based on the strength of correlations between bands.  ...  Section II analyzes the correlations of hyperspectral images, and Section III describes a multiband prediction algorithm. Entropy coding and compression results are presented in Section IV.  ... 
doi:10.1109/lgrs.2008.2012135 fatcat:m2jfpcu3ynaahpolqglqag53wi

Lossy compression of noisy remote sensing images with prediction of optimal operation point existence and parameters

Alexander N. Zemliachenko, Sergey K. Abramov, Vladimir V. Lukin, Benoit Vozel, Kacem Chehdi
2015 Journal of Applied Remote Sensing  
Also, it is expedient to predict the existence of OOP and the compression parameters at this point in advance in order to perform adaptive and automated compression.  ...  The OOP is associated with the parameter that controls compression (e.g., quantization step) for which the compressed image is the closest to the noise-free image according to a certain criterion and is  ...  Acknowledgments We would like to thank all three anonymous reviewers for their valuable comments and propositions.  ... 
doi:10.1117/1.jrs.9.095066 fatcat:h75oyt3a5fgnpf7yymqr7ftlja

Segmentation by Fractional Order Darwinian Particle Swarm Optimization based Multilevel Thresholding and Improved Lossless Prediction based Compression Algorithm for Medical Images

A. Ahilan, Gunasekaran Manogaran, C. Raja, Seifedine Kadry, S.N. Kumar, C. Ageeskumar, T. Jarin, Sujatha Krishnamoorthy, Priyan, Gokul, Senthil, Parthasarathy
2019 IEEE Access  
This work proposes multilevel thresholding based on optimization technique for the extraction of region of interest and compression of DICOM images by an improved prediction lossless algorithm for telemedicine  ...  The classification and blending prediction-based lossless compression algorithm generates efficient results when compared with the JPEG lossy and JPEG lossless approaches.  ...  For lossless compression of medical images, classification and blending prediction technique was proposed.  ... 
doi:10.1109/access.2019.2891632 fatcat:5c7wpcgqrzgphl2iuiss6yrale

Band ordering in lossless compression of multispectral images

S.R. Tate
1997 IEEE transactions on computers  
Abstract: In this paper, we consider a model of lossless image compression in which each band of a multispectral image is coded using a prediction function involving values from a previously coded band  ...  of the compression, and examine how the ordering of the bands affects the achievable compression.  ...  and visiting the CESDIS office at the Goddard Space Flight Center.  ... 
doi:10.1109/12.588062 fatcat:m7u5lctirrdffgkxrwwhxblk3i

Lossless image compression via bit-plane separation and multilayer context tree modeling

Alexey Podlasov
2006 Journal of Electronic Imaging (JEI)  
Color separation and highly optimized context tree modeling for binary layers have provided the best compression results for color map images that consist of highly complex spatial structures but only  ...  The original contributions of this work include: 1. the application of context-tree-based compression (previously designed for map images) to natural and color palette images; 2. the consideration of four  ...  The authors also thank Mantao Xu for his advice and support.  ... 
doi:10.1117/1.2388255 fatcat:mk2pu5svjjfv5mpsyq5fyekofu

Recompressible Hierarchical Lossless Image Compression Scheme Using Pel-Adaptive Cellular Neural Network Predictors Optimized by PSO with a Refractory Period

Yuki Nagano, Yuki Kawai, Hideharu Toda, Hisashi Aomori, Masatoshi Sato, Tuyoshi Otake, Ichiro Matsuda, Susumu Itoh
2019 Journal of Signal Processing  
In this method, CNN predictors are assigned for each pixel and their shapes and assignment are optimized to maximize the compression ratio of a given image.  ...  Resolution-scalable lossless image compression methods are indispensable for medical imaging and digital archives for example.  ...  In the CNN prediction, to perform an optimal prediction, the CNN predictor is adaptively switched for each pixel in accordance Figure 1 : Hierarchical lossless image compression framework using CNN predictors  ... 
doi:10.2299/jsp.23.185 fatcat:t7oztdthjngpvn4yhwagmwxqya

Lossless predictive compression of medical images

Aleksej Avramovic, Slavica Savic
2011 Serbian Journal of Electrical Engineering  
Among the common approaches to medical image compression we can distinguish the transformation-based and prediction-based approaches.  ...  Medical image compression with loss impairs of diagnostic value, therefore, there are often legal restrictions on the image compression with losses.  ...  Predictive Image Compression Predictive compression is based on several stages, as shown in Fig. 1 , that are: prediction, contextual modeling, error modeling and entropy coding.  ... 
doi:10.2298/sjee1101027a fatcat:mxnlghh6ajhepibrmirtpihqei

Bit allocation for lossy image set compression

Howard Cheng, Camara Lerner
2015 2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)  
These methods encode each image either using a conventional image compression algorithm, or predicts the image from a similar image already encoded and encode the prediction residual.  ...  A number of methods have been proposed to reduce such inter-image redundancy in lossy image set compression.  ...  ACKNOWLEDGMENT The authors wish to thank the Natural Sciences and Engineering Research Council of Canada for supporting this work through its Discovery Grant and Undergraduate Student Research Award programs  ... 
doi:10.1109/pacrim.2015.7334808 dblp:conf/pacrim/ChengL15 fatcat:bgzwifj6o5fbrdoqhj57opr6kq

Lossless Compression of Ultraspectral Images Using Recursive Least Square with Constant Gain Vectors

Changguo Li
2017 International Journal of Signal Processing, Image Processing and Pattern Recognition  
Namely, an optimized recursive least square based on optimal number of prediction bands is introduced firstly.  ...  Then we randomly select a predetermined number of granules and use that set of granules for computing constant gain vectors. These gain vectors are used in the compression of all the other granules.  ...  ), and the Research Foundation of Sichuan Normal University (2015KYQD312).  ... 
doi:10.14257/ijsip.2017.10.7.01 fatcat:gj7z5tjdojf43prnbunfjt7fxm

Lossless Compression of Medical Image Sequences Using a Resolution Independent Predictor and Block Adaptive Encoding

Urvashi Sharma, Meenakshi Sood, Emjee Puthooran
2019 International journal of electrical and computer engineering systems  
The novelty of the proposed technique lies in its ability of threshold selection for prediction and optimal block size for encoding.  ...  The proposed block-based lossless coding technique presented in this paper targets at compression of volumetric medical images of 8-bit and 16-bit depth.  ...  The proposed algorithm is based on an optimal threshold value for prediction and an optimal block size for encoding a residual image.  ... 
doi:10.32985/ijeces.9.2.4 fatcat:nlrug2quhzaoda7lsjoogcabra

Image and Video Compression with Neural Networks: A Review

Siwei Ma, Xinfeng Zhang, Chuanmin Jia, Zhenghui Zhao, Shiqi Wang, Shanshe Wanga
2019 IEEE transactions on circuits and systems for video technology (Print)  
novel and promising solution for image and video compression.  ...  However, due to the popularization of image and video acquisition devices, the growth rate of image and video data is far beyond the improvement of the compression ratio.  ...  Image and Video Compression Among the various coding frameworks, the core techniques in image and video compression are transform and prediction.  ... 
doi:10.1109/tcsvt.2019.2910119 fatcat:ibwmmewdlfcexjxfetsxzga52y

A progressive transmission capable diagnostically lossless compression scheme for 3D medical image sets

2005 Information Sciences  
This paper presents a novel and efficient diagnostically lossless compression for 3D medical image sets.  ...  This preprocessing technique is followed by an optimal predictor plus a 1st-level integer wavelet transform to de-correlate the 3D medical image set.  ...  The one level IWT compensates the inaccuracy in prediction and optimizes the prediction residuals. The intra-and-inter-image predictor 6 plus one level (2, 2) interpolating IWT Fig. 7 .  ... 
doi:10.1016/j.ins.2005.01.008 fatcat:sy7vyst3bvagzlw5kx6j6wtw6a

End-to-End Rate-Distortion Optimization for Bi-Directional Learned Video Compression [article]

M. Akin Yilmaz, A. Murat Tekalp
2020 arXiv   pre-print
Conventional video compression methods employ a linear transform and block motion model, and the steps of motion estimation, mode and quantization parameter selection, and entropy coding are optimized  ...  Learned video compression allows end-to-end rate-distortion optimized training of all nonlinear modules, quantization parameter and entropy model simultaneously.  ...  RELATED WORK AND NOVELTY This section relates our proposed approach to the existing literature on learned image and video compression. 1) Image Compression: Recently, end-to-end optimized learned image  ... 
arXiv:2008.05028v1 fatcat:tycf2rizbng37eqdzah73kryey
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