JPEG post processing image enhancement

Author

Lopez, Alex ; Torres, Angel ; Hunt, Shawn

Author_Institution

Eastman Kodak Co., Rochester, NY, USA

Volume

3

fYear

1997

fDate

9-12 Jun 1997

Firstpage

1496

Abstract

A nonlinear filter based on the feedforward neural network topology is presented. This study was undertaken to investigate the usefulness of `smart´ filters in image post processing. The filter has shown to be useful in recovering high frequencies, such as those lost during the JPEG compression-decompression process. The filtered images have a higher signal to noise ratio, and a higher perceived image quality. Simulation studies showing examples of the high frequency recovery, and the statistical properties of the filter are given

Keywords

data compression; feedforward neural nets; filtering theory; image coding; image enhancement; image restoration; nonlinear filters; JPEG compression-decompression process; JPEG post processing image enhancement; feedforward neural network topology; filtered images; high frequency recovery; image quality; nonlinear filter; signal to noise ratio; smart filters; statistical properties; Feedforward neural networks; Frequency; Image coding; Image enhancement; Image quality; Network topology; Neural networks; Nonlinear filters; Signal to noise ratio; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks,1997., International Conference on

Conference_Location

Houston, TX

Print_ISBN

0-7803-4122-8

Type

conf

DOI

10.1109/ICNN.1997.614018

Filename

614018