Various Novel Wavelet - Based Image Compression Algorithms Using a Neural Network as a Predictor

Farnoosh Negahban, Mohammad Ali Shafieian, Mohammad R. Rahmanian, Bandar Abbas Branch · 2013

An important issue in image compression is the volume of pixels which will be compressed. This paper presents a novel technique in image compression with different algorithms by using the transform of wavelet accompanied by neural network as a predictor. The details subbands in different low levels of image wavelet decomposition are used as training data for neural network. In addition, It predicts high level details subbands using low level details subbands. This Paper consists of four novel algorithms for image compression as well as comparing them with each other and well- known jpeg and jpeg2000 methods.

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