DocumentCode :
3479818
Title :
Parallel and element-reduced Error-Diffused Block Truncation Coding
Author :
Guo, Jing-Ming ; Lin, Chih-Yu
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
1905
Lastpage :
1908
Abstract :
Block Truncation Coding (BTC) is an efficient compression technique for its inherent simple coding strategy. However, the annoying blocking effect and false contour accompanied in high coding gain configurations make the applications relatively limited compares to some up-to-date compression schemes. For this, Error-Diffused Block Truncation Coding (EDBTC) is proposed to solve these problems and obtain satisfactory results. Unfortunately, the EDBTC sacrifices the parallel advantage of traditional BTC. Moreover, the number of diffused directions of EDBTC can be reduced to obtain higher efficiency. For these, the Interlaced Error-Diffused Block Truncation Coding (IEDBTC) is proposed in this work to claim back the parallel advantage. In addition, the diffused elements are also reduced from four to two with the proposed optimization procedure while preserving the image quality.
Keywords :
data compression; image coding; compression technique; element-reduced block truncation coding; interlaced error-diffused block truncation coding; parallel block truncation coding; Computational complexity; Equations; Image coding; Image quality; Mean square error methods; Pixel; Quantization; block truncation coding; error diffusion; error-diffused block truncation coding; interlaced error-diffused block truncation coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5413698
Filename :
5413698
Link To Document :
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