Performance improving in skew-coordinates DCT method for images by entropy coding based on gaussian mixture distribution model

Electronics and Communications in Japan, Part I: Communications (English translation of Denshi Tsushin Gakkai Ronbunshi)

Volumn 84, Issue 7, 2001, Pages 37-44

  Yamane, Nobumoto ^a   Morikawa, Yoshitaka ^a   Nariai, Takeshi ^b  

^a OKAYAMA UNIVERSITY   (Japan)

^b MITSUBISHI ELECTRIC CORPORATION   (Japan)

Author keywords

Entropy coding; Gaussian mixture distribution model; JPEG; Skew coordinates DCT; Variably shaped block

Indexed keywords

COMPUTER SIMULATION; COSINE TRANSFORMS; IMAGE CODING; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS; STATISTICAL METHODS;

ENTROPY CODING METHOD; GAUSSIAN MIXTURE DISTRIBUTION MODELS (GMEC); SKEW COORDINATES DISCRETE COSINE TRANSFORM (SCDCT) METHOD;

IMAGE COMPRESSION;

EID: 0035028320     PISSN: 87566621     EISSN: None     Source Type: Journal    
DOI: 10.1002/ecja.1022     Document Type: Article

References (11)

1. Coding of segmented images using shape-independent basis functions
2. An image coding method using DCT in skew coordinates
3. Low complexity shape-adaptive DCT for coding of arbitrarily shaped image segments
4. Coding of arbitrarily shaped image segments based on a generalized orthogonal transform
5. Second-generation image-coding techniques
6. Huffman coding of DCT coefficients using dynamic codeword assignment and adaptive codebook selection
7. Gaussian mixture model of image and application to entropy coding
8. JPEG still image data compression standard
9. Transform image coding with a new family of model
10. A noble method for compressing images using discrete directional transforms