TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Edge Adaptive Hierarchical Interpolation for Lossless and Progressive Image Transmission |
| 영문제목(English Title) |
Edge Adaptive Hierarchical Interpolation for Lossless and Progressive Image Transmission |
| 저자(Author) |
Yenewondim Biadgie
Young Chul Wee
Jung-Ju Choi
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| 원문수록처(Citation) |
VOL 05 NO. 11 PP. 2068 ~ 2086 (2011. 11) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Based on the quincunx sub-sampling grid, the New Interleaved Hierarchical INTerpolation (NIHINT) method is recognized as a superior pyramid data structure for the lossless and progressive coding of natural images. In this paper, we propose a new image interpolation algorithm, Edge Adaptive Hierarchical INTerpolation (EAHINT), for a further reduction in the entropy of interpolation errors. We compute the local variance of the causal context to model the strength of a local edge around a target pixel and then apply three statistical decision rules to classify the local edge into a strong edge, a weak edge, or a medium edge. According to these local edge types, we apply an interpolation method to the target pixel using a one-directional interpolator for a strong edge, a multi-directional adaptive weighting interpolator for a medium edge, or a non-directional static weighting linear interpolator for a weak edge. Experimental results show that the proposed algorithm achieves a better compression bit rate than the NIHINT method for lossless image coding. It is shown that the compression bit rate is much better for images that are rich in directional edges and textures. Our algorithm also shows better rate-distortion performance and visual quality for progressive image transmission. |
| 키워드(Keyword) |
Pyramid data structures
image interpolation
lossless image compression
progressive image transmission
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| 파일첨부 |
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