Improved Embedded Zerotree Wavelet Coding Based On The Vector Quantization

Vector quantization method for block effects are often present in the EZW algorithm andhigh compression ratio of the image restoration problem of poor quality, it will be adding amodule and vector quantization. EZW linking to find out a low bit rate signal to noise ratio of thecompression algorithm is worth studying.Based on SOFM-C algorithm,we introduced the concept of auxiliary neurons (Auxiliaryneurons) to a new self-organizing map (ASOFM-C) algorithm.It is not only a code word in amore balanced use of the advantages,and maintaining the characteristics of neurons. Based onthe SOFM-C and SOFM neural network have a different distortion measure.A fast search neuralacceleration theorem is proposed for the SOFM-C.This paper presents a vector quantizationbased on the embedded zerotree wavelet method, and its basic principle is the introduction of thedifference image of thought.At first the original image vector quantization, then the originalimage and restored image vector quantization of the difference image requirements. Poor binaryimage after wavelet decomposition later.There are a lot of wavelet zero coefficients to helpimprove reconstructed image quality. Experiments show that, compared to EZW and JPEG2000algorithm, the algorithm of compression ratio and coding quality have improved significantly...