DocumentCode :
2637503
Title :
The Image Compression Method Based on Adaptive Segment and Adaptive Quantified
Author :
Shi-Qiang Zhang ; Shu-fang Zhang ; Xin-nian Wang ; Yan Wang
Author_Institution :
Inf. Eng. Coll., Dalian Maritime Univ., Dalian
fYear :
2008
fDate :
18-20 June 2008
Firstpage :
353
Lastpage :
353
Abstract :
An image compression method based on adaptive segment and adaptive quantified is presented in this paper. The image is divided into smooth and detail areas using the multi-threshold-segmentation method based on the potential function. The quantization table varied with the different image. The 2-D DCT is decomposed into 1-D fast DCT based on base-2 FFT. The Compression-to-PSNR Rate can evaluate the image compression result more effectively than that of the compression rate or PSNR respectively. The experiment shows that the algorithm gives the superior performance compared with traditional JPEG.
Keywords :
data compression; discrete cosine transforms; fast Fourier transforms; image coding; image segmentation; transform coding; 1D fast DCT; 2D DCT; JPEG; adaptive quantified algorithm; adaptive segment algorithm; compression-to-PSNR Rate; discrete cosine transforms; fast Fourier transforms; image compression method; multi threshold segmentation method; Cameras; Discrete cosine transforms; Educational institutions; Histograms; Image coding; Image segmentation; PSNR; Probability density function; Quantization; Transform coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
Type :
conf
DOI :
10.1109/ICICIC.2008.666
Filename :
4603542
Link To Document :
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