An Image Compression Scheme Based on Fuzzy Neural Network
Abstract: Image compression
technology is to compress the redundancy between the pixels to reduce the transmission
broadband and storage space by using the correlation of the image pixels. Fuzzy
neural network effectively integrates neural network technology and fuzzy
technology; combines learning, selfadaptivity, imagination and identity and
uses rule-based reasoning and fuzzy information processing in the nodes; thus
greatly improving the transparency of fuzzy neural network. This paper mainly
investigates the applications of fuzzy neural network in image compression and
realizes the image compression andreconstruction of fuzzy neural network. It is
demonstrated in the simulation experiment that the image compression algorithm
based on fuzzy neural network has significant advantages in training speed,compression
quality and robustness.
Author: Bo Wang, Yubin Gao
Journal Code: jptkomputergg150063
