DocumentCode
2555084
Title
A new zerotree structure for color image compression based on DWT and VQ
Author
Meng, Meng ; Zong, Meijuan
Author_Institution
Sch. of Resources & Environ. Eng., Shandong Univ. of Technol., Zibo, China
fYear
2010
fDate
16-18 April 2010
Firstpage
339
Lastpage
342
Abstract
Colour images are widely used in computer applications. Uncompressed digital images require considerable storage capacity and transmission bandwidth. Efficient image compression solutions are becoming more critical with the recent growth of data intensive, multimedia-based web applications. DCT (relative to the DFT) has the advantages of real-valued, better energy compaction (much of the signal energy can be represented by only a few coefficients), experimentally observed to work well and coefficients are nearly uncorrelated. Fractal coding is a kind of VQ coding but Less than stellar compression ratio for ´good´ image reconstruction. In this paper we implement colour image compression using Discrete Cosine Transform (DCT), VQ coding and a new proposed method that merges DCT and wavelet transform is implemented. Experiment results showed that the performance of new proposed algorithm is effective and can obtain very high compression ration.
Keywords
data compression; discrete cosine transforms; image coding; image colour analysis; image reconstruction; multimedia computing; wavelet transforms; DCT; DWT; VQ coding A; ZeroTree structure; color image compression; discrete cosine transform; fractal coding; image reconstruction; multimedia based Web applications; stellar compression ratio; storage capacity; transmission bandwidth; uncompressed digital images; wavelet transform; Application software; Bandwidth; Color; Compaction; Computer applications; Digital images; Discrete cosine transforms; Discrete wavelet transforms; Image coding; Image storage; Discrete Cosine Transform; Image Compression; Vector Quantization; ZeroTree algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5263-7
Electronic_ISBN
978-1-4244-5265-1
Type
conf
DOI
10.1109/ICIME.2010.5478128
Filename
5478128
Link To Document