Extended Multi WLS Method for Lossless Image Coding [PDF]
Entropy, 2020 In this paper, the most efficient (from data compaction point of view) and current image lossless coding method is presented. Being computationally complex, the algorithm is still more time efficient than its main competitors.
Grzegorz Ulacha +2 more
doaj +4 more sources
Lossless Image Coding Using Non-MMSE Algorithms to Calculate Linear Prediction Coefficients [PDF]
Entropy, 2023 This paper presents a lossless image compression method with a fast decoding time and flexible adjustment of coder parameters affecting its implementation complexity.
Grzegorz Ulacha, Mirosław Łazoryszczak
doaj +4 more sources
Soft Compression for Lossless Image Coding Based on Shape Recognition [PDF]
Entropy, 2021 Soft compression is a lossless image compression method that is committed to eliminating coding redundancy and spatial redundancy simultaneously. To do so, it adopts shapes to encode an image.
Gangtao Xin, Pingyi Fan
doaj +2 more sources
Lossless and Near-Lossless Image Compression Using Generalized Multi-Context Linear and Nonlinear Prediction [PDF]
EntropyThe paper proposes the Multi-ctx2 method, which enables image compression in lossless and near-lossless modes. It employs a generalized multi-context division method in the prediction stage, which is more efficient than other fast prediction methods ...
Grzegorz Ulacha, Mirosław Łazoryszczak
doaj +2 more sources
Parallel Intelligent Compression Method for Synchrotron Radiation Light Source Images [PDF]
Jisuanji gongcheng, 2023 The High-Energy Photon Source(HEPS) under construction generates a large amount of raw data.The images generated by the hard X-ray imaging beamline, which is characterized by a high resolution and high frame rate, occupy the largest storage space, and an
FU Shiyuan, ZHANG Minxing, GAO Yu, WANG Lu, CHENG Yaodong
doaj +1 more source
Intelligent compression for synchrotron radiation source image [PDF]
EPJ Web of Conferences, 2021 Synchrotron radiation sources (SRS) produce a huge amount of image data. This scientific data, which needs to be stored and transferred losslessly, will bring great pressure on storage and bandwidth.
Fu Shiyuan +3 more
doaj +1 more source
LOCO-ANS: An Optimization of JPEG-LS Using an Efficient and Low-Complexity Coder Based on ANS
IEEE Access, 2021 Near-lossless compression is a generalization of lossless compression, where the codec user is able to set the maximum absolute difference (the error tolerance) between the values of an original pixel and the decoded one.
Tobias Alonso +2 more
doaj +1 more source
Lossless Image Compression by Joint Prediction of Pixel and Context Using Duplex Neural Networks
IEEE Access, 2021 This paper presents a new lossless image compression method based on the learning of pixel values and contexts through multilayer perceptrons (MLPs). The prediction errors and contexts obtained by MLPs are forwarded to adaptive arithmetic encoders, like ...
Hochang Rhee +3 more
doaj +1 more source
FLoCIC: A Few Lines of Code for Raster Image Compression
Entropy, 2023 A new approach is proposed for lossless raster image compression employing interpolative coding. A new multifunction prediction scheme is presented first.
Borut Žalik +8 more
doaj +1 more source
Joint Lossless Image Compression and Encryption Scheme Based on CALIC and Hyperchaotic System
Entropy, 2021 For efficiency and security of image transmission and storage, the joint image compression and encryption method that performs compression and encryption in a single step is a promising solution due to better security.
Miao Zhang +3 more
doaj +1 more source