Summary form only given. We consider the compression of a stillcolor image with very low distortion from the human eye point of view.The basic idea in this work is to take into account the variations ofhuman eye/brain spatial resolution with color. The most natural way foran image processing researcher to perform such a scheme is to use amultiresolution analysis of the image to be coded before quantizationand coding. Previous experiences connected with still grey value imagecompression/decompression scheme design have shown that the wavelettransform, Mallats algorithm, is a very efficient method for thispurpose, particularly if real time implementation is underconsideration, Hence we present a wavelet transform algorithm for acolor image and we show how and with what performances the transformedimage can be altered and reduced. We show that a quasi losslesscompression/decompression scheme can be easily obtained with compressionratio up to 1:10. The results obtained after a large series of testsbased on psychovisual estimations rather than on pure PSNR evaluationare in good accordance with the assumed properties of the human visualperceptive system
展开▼
