A pyramidal data structure suited for coding and progressive transmission of images is proposed in this work. A mean
pyramid representation of an image is first built up by forming a sequence of reduced-size images. A pyramid of
difference images is then generated by subtracting the previous coded image from the original image at each level of the
pyramid. Progressive transmission is achieved by sending all the nodes in the difference pyramid starting from the top
level and ending at the bottom level. To gain efficiency, a pattern matching- based coding algorithm is applied to the
difference pyramid of the image on a level-by-level basis. The proposed coding method, compresses the difference
images by using a set of parameters computed based the visual activity of individual image blocks. The coding efficiency
of the proposed technique along with the low computational complexity and simple parallel implementation of the
pyramid approach allows for a high compression ratio as well as a good image quality. Satisfactory coded images have
been obtained at bit rates in the range of 0.30 - 0.33 bits per pixel (bpp).
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