Machine learning is used to refine a probability distribution for entropy coding video or image data. A probability distribution is determined for symbols associated with a video block (e.g., quantized transform coefficients, such as during encoding, or syntax elements from a bitstream, such as ...
Secondly,nonzerolatticevectors aredealtwith byadoptingcomplexentropycoding. 然后采用复合熵编码来处理非零格点; cjig.cn 7. Here,usingtheJPEGimagecompressionbenchmarkmodel,inthebaselinemodel, theentropycodingusing Huffman coding. 这里,采用了JPEG基准模式对图像进行压缩,在基准模式中,熵编码采用哈夫曼编码方法。
ENTROPY CODING IN IMAGE AND VIDEO COMPRESSION USING MACHINE LEARNING Machine learning is used to refine a probability distribution for entropy coding video or image data. A probability distribution is determined for symbols ... A Bokov,SU Hui 被引量: 0发表: 2020年 Image compression using subband...
Color Image CompressionWavelet TransformEntropy CodingSignMagnitudeIJCSIOne of the advantages of the Discrete Wavelet Transform (DWT) compared to Fourier Transform (e.g. Discrete Cosine Transform DCT) is its ability to provide both spatial and frequency localization of image energy. However, WT ...
regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, will be deposited as supplementary material. Scope Entropy deals with the development and/or application of entropy or information-theoretic concepts in a wide variety of applications...
IMPROVED ENTROPY CODING IN IMAGE AND VIDEO COMPRESSION USING MACHINE LEARNING Machine learning is used to refine a probability distribution for entropy coding video or image data. A probability distribution is determined for symbols ... A Bokov,H Su 被引量: 0发表: 2022年 ENTROPY CODING OF CODING...
•An preprocessing method for image compression, i.e., EMHM is proposed.•EMHM can reduce image entropy and number of grayscale with nonzero pixel population.•Based on our EMHM, the performance of JPEG, JPEG2000, and BPG can be improved.论文关键词:Image compression,Entropy coding,Entr...
Lossless compressionvector quantizationentropy-constrainedLossless coding guaranties that the decompressed image is absolutely identical to the image before compression. This is an important requirement for some application domains, e.g. medial imaging, where not only high quality is in demand, but ...
A video coder that performs entropy coding of a syntax element for partitioning a block of pixels is provided. The video coder receives a current block of pixels of an image. The vi
“Arithmetic Coding with Folds and Unfolds.” Advanced Functional Programming 4, Lecture Notes in Computer Science, Johan Jeuring and Simon Payton Jones, editors, 2003, pp. 1-26. Öktem, Levent. “Hierarchical Enumerative Coding and Its Applications in Image Compression.” Thesis, Signal ...