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Author Balsi, Marco ♦ David, Stefano
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Introduction High Compression Image Coding ♦ Main Cause ♦ Linear Filtering ♦ Analogic Algorithm ♦ Usual Algorithm ♦ Cellular Neural Network Universal Machine ♦ Adaptive Subband Decomposition ♦ Optimized Perceptual Performance ♦ Image Compression ♦ Storage System ♦ Adaptive Algorithm ♦ Cellular Neural Network ♦ High Compression Rate
Description An "analogic" algorithm is developed for the Cellular Neural Network Universal Machine, that realizes Adaptive Subband Decomposition, a recently proposed algorithm for image compression. In this way, it is possible to obtain very high compression rates with optimized perceptual performance, using real-time mixed analog/digital programmable processors. I. INTRODUCTION High compression image coding is needed in many existing and projected transmission and storage systems. In order to obtain high compression rates, distortions allowed on the image should be perceptually acceptable. Images compressed by usual algorithms suffer from two main causes of visually disturbing distortion: the ringing effect and the blocking effect. Blocking can only be avoided by coding the image without dividing it into blocks, while ringing is inherent in linear filtering, but can be avoided by using nonlinear (e.g. morphological) filters. Recently, Egger et al. [1] have proposed an adaptive algorithm based o...
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 1997-01-01
Publisher Institution 13 EUROPEAN CONFERENCE ON CIRCUIT THEORY AND DESIGN, (ECCTD'97), VOLUME 2, PAGES