On the selection of image compression algorithms
نویسنده
چکیده
This paper attempts to give a recipe for selecting one of the popular image compression algorithms based on (a) Wavelet, (b) JPEG/DCT, (c) VQ, and (d) Fractal approaches. We review and discuss the advantages and disadvantages of these algorithms for compressing grayscale images, give an experimental comparison on four 256×256 commonly used images, Jet, Lenna, Mandrill, Peppers, and one 400×400 fingerprint image. Our experiments show that all of the four approaches perform satisfactorily when the 0.5 bits per pixel (bpp) is desired. However, for a low bit rate compression like 0.25 bpp or lower, the embedded zerotree wavelet (EZW) approach and DCT-based JPEG approach are more practical.
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