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