Image Compression and Reconstruction based on Fuzzy Relation and Soft Computing Technology | Zendy

Kaoru Hirota | Zendy; Hajime Nobuhara | Zendy; Kazuhiko Kawamoto | Zendy; Shin’ichi Yoshida | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Image Compression and Reconstruction based on Fuzzy Relation and Soft Computing Technology

Author(s) -

Kaoru Hirota,

Hajime Nobuhara,

Kazuhiko Kawamoto,

Shin’ichi Yoshida

Publication year - 2004

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2004.p0072

Subject(s) - computer science , image compression , peak signal to noise ratio , artificial intelligence , computer vision , data compression , data compression ratio , compression ratio , quantization (signal processing) , fuzzy logic , compression (physics) , image (mathematics) , image processing , materials science , composite material , internal combustion engine , automotive engineering , engineering

A fast image reconstruction method for Image Compression method based on Fuzzy relational equation (ICF) and soft computing is proposed. In experiments using 20 images (Standard Image DataBAse), the decrease in image reconstruction time to 1/132.02 and 1/382.29 are obtained when the compression rate is 0.0156 and 0.0625, respectively, and the proposed method outperforms the conventional one in the Peak Signal to Noise Ratio (PSNR). ICF using nonuniform coders over YUV color space is proposed in order to achieve effective compression. Linear quantization of compressed image data is introduced in order to improve the compression rate. Through experiments using 100 typical images (Corel Gallery, Arizona Directory), PSNR increases at 7.9-14.1% compared with the conventional method under the condition that compression rates are 0.0234-0.0938.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research