期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2012
卷号：3
期号：4
页码：95
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：This paper proposes particle swarm optimization method to design M channel near perfect reconstructionpseudo QMF banks used in transforming stage of image coder. The filter bank is designed to have highestentropy based coder. To achieve high energy compaction and least distortion, design problem is formulatedas a combination of the coding gain, low dc leakage conditions and stopband attenuation. For distortionfree signal representation perfect reconstruction and good visual quality measures are imposed asconstraints. The design problem is solved using (particle swarm optimization) PSO technique forminimizing filter tap weights. The technique find out solution by searching feasible solutions that achievethe best solution for the objectives criteria mentioned above. The performance of this optimizationtechnique in filter bank design for image compression is evaluated in terms of both objective quality viacoding gain, PSNR measures and subjective visual quality measure using both JPEG baseline image coderand an Embedded Zerotree Wavelet (EZW) coder. For comparison same test images for approximatelysame conditions and characteristics are used to measure compression ratio and peak signal to noise ratio(PSNR) for lower bit rates.
关键词：Bits per pixel (bpp); Embedded Zerotree Wavelet (EZW); evolutionary Algorithm; Huffman Encoder; near;perfect reconstruction; Peak signal to noise ratio (PSNR); Pseudo QMF bank; Particle Swarm;optimization(PSO); reconstruction error (RE).
