NOISE EFFECT ON ARTIFICAL NEURAL NETWORK BASED IMAGE COMPRESSION
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 0, Vol 4, Issue 11
Abstract
This paper presents a neural networks as image processing tools for image compression, present a direct solution method based neural network for image compression. Digital images require large amounts of memory for storage. Thus, the transmission of an image from one computer to another can be very time consuming. By using data compression techniques, it is possible to remove some of the redundant information contained in images, requiring less storage space and less time to transmit. To observe effects of noisy image on decompressed image different type of noise are added in image and their result are compared.
Authors and Affiliations
Mr. Gade M. R
Keywords
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