Progressive Image Transmission using Pyramid Structure and Pattern Matching Coding
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 reducedsize 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).
Image compression Progressive image transmission Pyramid structure Visual activity
F. Keissarian
School of Information Technology, Monash University, Malaysia
国际会议
Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)
成都
英文
475-479
2011-04-15（万方平台首次上网日期，不代表论文的发表时间）