Image Compression Based on Balanced Orthogonal Multiwavelet and SOFM

Author

Wang Jun ; Kang Shihua ; Liu Yingjie ; Ma Yide

Author_Institution

Sch. of Electr. Eng., Wuhan Univ., China

fYear

2006

fDate

7-11 Aug. 2006

Firstpage

1387

Lastpage

1390

Abstract

After considered balanced orthogonal multiwavelets transformation the coefficients distribution characteristic and the sub-belt various components image pertinency, structured input vector, and designed a minute block code tables imposing on the three orientation of coefficients, obtains the final code with the SOFM network training input vector. Carries on compression processing to the image, the test result indicated balances the multiwavelets and the SOFM image compression algorithm is better than the CL multiwavelets and the SOFM image compression algorithm performance.

Keywords

data compression; image coding; self-organising feature maps; wavelet transforms; SOFM network; balanced orthogonal multiwavelet transformation; coefficient distribution characteristic; image compression algorithm; image pertinency; minute block code table; self-organizing feature map; structured input vector; Algorithm design and analysis; Block codes; Design engineering; IEEE catalog; Image coding; Image resolution; Information science; Light rail systems; Testing; Balanced multiwavelets; SOFM network; image compression; vector quantification;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference, 2006. CCC 2006. Chinese

Conference_Location

Harbin

Print_ISBN

7-81077-802-1

Type

conf

DOI

10.1109/CHICC.2006.280681

Filename

4060313