Morphological dilation image coding with context weights prediction
- Authors
- Wu, Jiaji; Paul, Anand; Xing, Yan; Fang, Yong; Jeong, Jechang; Jiao, Licheng; Shi, Guangming
- Issue Date
- Nov-2010
- Publisher
- ELSEVIER
- Keywords
- Quad-tree coding; Morphological dilation; Variable-length group test coding; Weights training
- Citation
- SIGNAL PROCESSING-IMAGE COMMUNICATION, v.25, no.10, pp.717 - 728
- Indexed
- SCIE
SCOPUS
- Journal Title
- SIGNAL PROCESSING-IMAGE COMMUNICATION
- Volume
- 25
- Number
- 10
- Start Page
- 717
- End Page
- 728
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/173532
- DOI
- 10.1016/j.image.2010.10.003
- ISSN
- 0923-5965
- Abstract
- This paper proposes an adaptive morphological dilation image coding with context weights prediction. The new dilation method is not to use fixed models, but to decide whether a coefficient needs to be dilated or not according to the coefficient's predicted significance degree. It includes two key dilation technologies: (1) controlling dilation process with context weights to reduce the output of insignificant coefficients and (2) using variable-length group test coding with context weights to adjust the coding order and cost as few bits as possible to present the events with large probability. Moreover, we also propose a novel context weight strategy to predict a coefficient's significance degree more accurately, which can be used for two dilation technologies. Experimental results show that our proposed method outperforms the state of the art image coding algorithms available today.
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