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Improving Lossless Image Compression with Contextual Memory

Dorobanțiu, Brad
2019 Applied Sciences  
We propose a new online learning algorithm for predicting the probability of bits from a stream. We then proceed to integrate the algorithm into PAQ8PX's image model.  ...  With the increased use of image acquisition devices, including cameras and medical imaging instruments, the amount of information ready for long term storage is also growing.  ...  Macarie Breazu for his helpful comments during the writing of this paper. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app9132681 fatcat:bviaryl365bixo7dowrourgm34

From Lossy to Lossless Wavelet Image Coding in a Tree-Based Encoder with Resolution Scalability [chapter]

Jose Oliver, Manuel P. Malumbres
2006 Lecture Notes in Computer Science  
Numerical results show that despite being general purpose (i.e., both lossy and lossless) and lacking of complex techniques (such as high-order context and predictive coding), the LTW performs as well  ...  as JPEG 2000 in lossless mode, and only 5% below LOCO-I, a specific lossless algorithm.  ...  Acknowledgment This work was supported by the Spanish Ministry of Education and Science under grant TIC2004-0052.  ... 
doi:10.1007/11892755_20 fatcat:6iqepyji55dedlhl6btqwlod2u

SAR Image Colorization: Converting Single-Polarization to Fully Polarimetric Using Deep Neural Networks [article]

Qian Song, Feng Xu, Ya-Qiu Jin
2017 arXiv   pre-print
A deep neural networks based method is proposed to convert single polarization grayscale SAR image to fully polarimetric.  ...  Existing PolSAR applications such as model-based decomposition and unsupervised classification can be applied directly to the reconstructed full-pol SAR images.  ...  Fig. 10(a) shows the VV-pol grayscale image used as input and Fig. 10(b) shows the Pauli-color-coded image of reconstructed full-pol data.  ... 
arXiv:1707.07225v1 fatcat:v4lc5hazrfcdpgclwvaaslin7u

Deep Learning-Based Video Coding: A Review and A Case Study [article]

Dong Liu, Yue Li, Jianping Lin, Houqiang Li, Feng Wu
2019 arXiv   pre-print
DLVC features two deep tools that are both based on convolutional neural network (CNN), namely CNN-based in-loop filter (CNN-ILF) and CNN-based block adaptive resolution coding (CNN-BARC).  ...  For deep schemes, pixel probability modeling and auto-encoder are the two approaches, that can be viewed as predictive coding scheme and transform coding scheme, respectively.  ...  Ma, Haichuan Ma, Rui Song, Yefei Wang, Ning Yan, Kun Yang, Qingyu Zhang, Zhenxin Zhang, and Haitao Yang.  ... 
arXiv:1904.12462v1 fatcat:cgcmwylwnvd67abpl6wders5hy

Digital video coding standards and their role in video communications

R. Schafer, T. Sikora
1995 Proceedings of the IEEE  
The different coding algorithms developed for each standard are reviewed and the commonalities between the standards are discussed.  ...  With the increased commercial interest in video communications the need for international image and video coding standards arose.  ...  The algorithm is based on a classical pyramidal approach for progressive image coding [41] , [43] .  ... 
doi:10.1109/5.387092 fatcat:6rwwpfkyazel5j77sniwphd5kq

Video Compression for Lossy Packet Networks With Mode Switching and a Dual-Frame Buffer

A. Leontaris, P.C. Cosman
2004 IEEE Transactions on Image Processing  
In this paper, we show that using a dual-frame buffer (one short-term frame and one long-term frame available for prediction) together with intra/inter mode switching improves the compression performance  ...  Index Terms-Dual-frame buffer, mode switching, multiple-frame prediction, packet-switched networks, video compression.  ...  Rose and Dr. R. Zhang for making their source code available for the ROPE algorithm. They would also like to thank the anonymous reviewers for their many helpful remarks.  ... 
doi:10.1109/tip.2004.828429 pmid:15648856 fatcat:eo2pajk4xze7rkf3rribqa3mfa

Scene-Aware Video Modeling and Compression

Georgios Georgiadis, Stefano Soatto
2012 2012 Data Compression Conference  
are critical elements of image formation.  ...  We describe a video compression methodology that exploits the structure of the data formation process, whereby the "source" is the scene, and the "channel" includes scaling and occlusion phenomena that  ...  This research was supported by DARPA KECoM N66001-11-C-4001 and DARPA MSEE.  ... 
doi:10.1109/dcc.2012.23 dblp:conf/dcc/GeorgiadisS12 fatcat:yr44zoovcfga3kbgyjfw3gjxaq

Feature-Based Steganalysis for JPEG Images and Its Implications for Future Design of Steganographic Schemes [chapter]

Jessica Fridrich
2004 Lecture Notes in Computer Science  
optimal linear prediction from neighboring wavelet modes.  ...  In this paper, we introduce a new feature-based steganalytic method for JPEG images and use it as a benchmark for comparing JPEG steganographic algorithms and evaluating their embedding mechanisms.  ...  Special thanks belong to Phil Sallee for many useful discussions during preparation of this paper and for providing the code for Model Based Steganography.  ... 
doi:10.1007/978-3-540-30114-1_6 fatcat:c2yldeyhyzgsdjpehrrgfpk4mm

Design of Visual Online Spectrometer Based on Support Vector Machine

Gen-yong HUANG
2018 DEStech Transactions on Computer Science and Engineering  
Using the ARM and DSP dual core processor and H.264 algorithm to study the iron spectrum image classification technology, the typical oil sample image is scaled, stable and rotating, and a complete grinding  ...  By using a Vinci processor, H.264 encoding method, the Visual on-line iron spectrometer that can be used to monitor the visual line of the wear particles in the oil and meet the requirements of on-line  ...  Manufacturing Vocational and Technical College teaching reform project "professional competition in the teaching mode of practice and research (JXZZJG-16-2)".  ... 
doi:10.12783/dtcse/aiie2017/18181 fatcat:ejc2fnkow5gh7aze3rnuna2b7i

JPEG 2000 compression of medical imagery

David H. Foos, Edward Muka, Richard M. Slone, Bradley J. Erickson, Michael J. Flynn, David A. Clunie, Lloyd Hildebrand, Kevin S. Kohm, Susan S. Young, G. James Blaine, Eliot L. Siegel
2000 Medical Imaging 2000: PACS Design and Evaluation: Engineering and Clinical Issues  
The options that were assessed included integer and floating point transforms, scalar and vector quantization, and the use of visual weighting.  ...  the base standard.  ...  ACKNOWLEDGEMENTS The authors gratefully acknowledge the help of William Eyler, M.D. and David Wang, M.D. of the Henry Ford Health System, and Bruce Whiting, Ph.D. of the Mallinckrodt Institute for providing  ... 
doi:10.1117/12.386390 fatcat:m3nzoif2nnfstkbu6mxqdkrbl4

An Efficient method of image compression by merging IWPT transform coding with index vector Quantization through FNN

Gaurav Kumar Pandey
2012 IOSR Journal of Engineering  
For testing the proposed method we use IWPT transform coding and by merging it with the proposed quantization method a new compression algorithm is obtained.  ...  Compression time and complexity in the merged method is also better than JPEG and make it suitable for the systems with low processor and hardware implementation.  ...  In this paper we proposed a novel compression algorithm based on a new quantization approach.  ... 
doi:10.9790/3021-0204521525 fatcat:c3tasws7tveuzdrnqviuhnxnee

A Machine Learning Approach for Removal of JPEG Compression Artifacts: A Survey

Anagha R., Kavya B., Namratha M., Chandralekha Singasani, Hamsa J.
2016 International Journal of Computer Applications  
JPEG is a widely used image compression method. Though it is very efficient, it introduces certain artifacts and quantization noise.  ...  This paper is a detailed survey about various existing methods for the reduction of these artifacts. The paper explains each method and their advantages and drawbacks.  ...  Once an input image is evaluated based on its quality metrics the algorithm searches for the most suitable coefficients values for the blocks of the image and based on these values of pixel classification  ... 
doi:10.5120/ijca2016908732 fatcat:ag4oyo2cjvd4fd3syp55bpvczy

Significant medical image compression techniques: a review

Iman Qays Abduljaleel, Amal Hameed Khaleel
2021 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
There are three common types of image redundancy: 1) redundancy of coding; 2) redundancy of inter pixels; 3) psycho-visual redundancy based on information neglected by human vision [5]- [8] .  ...  These methods include coding for transformation (such as discrete cosine transformation (DFT), discrete cosine transformation (DCT), discrete wavelet transformation (DWT), vector quantization (VQ) transform  ...  [17] presented a new image compression method consisting of a combination of linear predictive coding (LPC), DWT and Huffman coding.  ... 
doi:10.12928/telkomnika.v19i5.18767 fatcat:4fwzuszrxnhl5gkousgznpzhqe

Recent Advances in Region-of-interest Video Coding [chapter]

Dan Grois, Ofer Hadar
2011 Recent Advances on Video Coding  
The proposed algorithm mainly operates on a grayscale image (DM), but the processing is based on color information.  ...  with complex topology from image sequences based on intensive restraint topology adaptive snake mode; (Wang & Zhu, 2008) presents a sensor platform with multi-modalities, consisting of a dual-panoramic  ...  In summary: this book serves as a technically sounding start point for early-stage researchers and developers willing to join leading-edge research on video coding, processing and multimedia transmission  ... 
doi:10.5772/17789 fatcat:dyxc3qvsqvdtpdrlf5guyxkyo4

Video Quality Metrics [chapter]

Shahriar Akramullah
2014 Digital Video Concepts, Methods, and Metrics  
We further discuss video coding efficiency evaluation metrics and some example standard-based algorithms.  ...  We also discussed video coding efficiency evaluation metrics and some examples of standard-based algorithms.  ... 
doi:10.1007/978-1-4302-6713-3_4 fatcat:h3ixkabeezd4lj6d6h5ntpm4gq
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