Showing papers on "Peak signal-to-noise ratio published in 1993"
19 Oct 1993
TL;DR: In this article, a new coding scheme called predictive classified address vector quantization (PCAVQ) is proposed for image compression in which a two-stage classification method based on the three-level block truncation coding technique is first developed to classify blocks of an image into different classes having similar characteristics.
Abstract: In this work, a new coding scheme called predictive classified address vector quantization (PCAVQ) is proposed for image compression In this scheme, a new two-stage classification method based on the three-level block truncation coding technique is first developed to efficient classify blocks of an image into different classes having similar characteristics The predictive mean removal VQ technique is applied to reduce the blocking effect in decoded images On the other hand, a new simplified address VQ method is also developed to increase the compression ratio of the overall system Simulations using real images show that the proposed PCAVQ scheme has about 17 to 4 dB improvement in peak signal to noise ratio (PSNR) over the JPEG baseline system >
5 citations