Data Compression for Image Archiving Applications

A novel approach to still-picture. data compression is presented that is based on the inte- gration of two different coding techniques. Its aim is to obtain hightompression factors by exploi- ting the characteristics of a second-generation method (i.e., polynomial approximation) in suitable scene areas, while achieving higher fidelity, where required by the local image characteristics, th- rough a first-generation technique (i.e., vector quantization). Such a region-driven hybrid approach performs the integration by utilizing a control image (re- sulting from the detection OF areas characterized by high spatial frequencies) that drives the seg- mentation and approximation processes. The results obtained on a variety of natural color images are quite satisfactory. The visual quality of the reconstructed images is, in general, very good, and SNR is kept within an acceptable range. Moreover, the bit rate obtained is always below 0.15 bit/pixel (bitlpixel), with peak values of 0.07 bitlpixel.

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