Image compression via edge-based wavelet transform
Alfred Mertins · Optical Engineering · 1999
In this paper, an edge-based wavelet transform is proposed for image compression. In the encoder, first the dominant edges of an image are detected and coded as side information. Then, the wavelet transform (WT) is carried out in such a way that no filtering over previously detected edges is performed. Compression examples show that the edge-based WT achieves good reproduction of sharp edges- even at very low bit rates. Because of the additional side information, the PSNR is typically slightly lower than for standard wavelet coders. On the other hand, the picture quality scale, an objective quality measure that better reflects the subjective impression, shows superior results for the proposed coder.