Article ID Journal Published Year Pages File Type
10361523 Pattern Recognition Letters 2005 7 Pages PDF
Abstract
In principle, a multi-resolution distortion computation method can completely reuse the obtained computation result that is already executed at a lower resolution level so that no waste to it will occur at all. This paper aims at improving the search efficiency of the previous work [Pan, Z., Kotani, K., Ohmi, T. 2004. An improved fast encoding algorithm for vector quantization using 2-pixel-merging sum pyramid data structure. Pattern Recognition Lett. 25 (3) 459] further by introducing a multi-resolution distortion computation method into multi-resolution distortion check method so that about half of its computational cost can be reduced mathematically. Experimental results confirmed the proposed method outperforms the previous works obviously.
Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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