Zero redundancy error protection of images using self-organizing-maps

Author

Limboonruang, Pornsri ; Thipakorn, Bundit ; Demeechai, Tanee

fYear

2000

fDate

2000

Firstpage

89

Lastpage

92

Abstract

This paper proposes the approach of zero redundancy error protection in transmitting images using Self-Organizing Maps (SOM). SOM is a kind of neural network arranging the groups of cluster input having similar characteristics adjacent to each other. SOM is used in this research to design a mapping codebook of gray levels to bit patterns such that similar levels are mapped to similar bit patterns. The codebook designed by SOM for image transmission over noisy channels (Binary Symmetric Channel) are presented and compared with that of using Natural codebook and Graycode codebook. The results indicated that SOM improves the PSNR over both the Natural codebook and Graycode codebook

Keywords

image coding; redundancy; self-organising feature maps; visual communication; PSNR improvement; binary symmetric channel; bit patterns; digital images; gray levels; image transmission; mapping codebook; neural network; noisy channels; self-organizing-maps; zero redundancy error protection; Algorithm design and analysis; Clustering algorithms; Error correction; Gray-scale; Image communication; Neural networks; PSNR; Protection; Quantization; Redundancy;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2000. IEEE APCCAS 2000. The 2000 IEEE Asia-Pacific Conference on

Conference_Location

Tianjin

Print_ISBN

0-7803-6253-5

Type

conf

DOI

10.1109/APCCAS.2000.913413

Filename

913413