Image compression via improved quadtree decomposition algorithms

نویسندگان

  • Eli Shusterman
  • Meir Feder
چکیده

Quadtree decomposition is a simple technique used to obtain an image representation at different resolution levels. This representation can be useful for a variety of image processing and image compression algorithms. This paper presents a simple way to get better compression performances (in MSE sense) via quadtree decomposition, by using near to optimal choice of the threshold for quadtree decomposition; and bit allocation procedure based on the equations derived from rate-distortion theory. The rate-distortion performance of the improved algorithm is calculated for some Gaussian field, and it is examined vie simulation over benchmark gray-level images. In both these cases, significant improvement in the compression performances is shown.

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عنوان ژورنال:
  • IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

دوره 3 2  شماره 

صفحات  -

تاریخ انتشار 1994