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This paper presents an efficient and scalable design for histogram-based bilateral filtering (BF) and joint BF (JBF) by memory reduction methods and architecture design techniques to solve the problems of high memory cost, high computational complexity, high bandwidth, and large range table. The presented memory reduction methods exploit the progressive computing characteristics to reduce the memory...
Local stereo matching could deliver accurate disparity maps by the associated method, like adaptive support-weight, but suffers from the high computational complexity, O(NL), where N is pixel count in spatial domain, and L is search range in disparity domain. This paper proposes a fast algorithm that groups similar pixels into super-pixels for spatial reduction, and predicts their search range by...
Bilateral filter can well smooth images while preserving edges, and thus has been widely used in various applications. However, it needs significant memory cost due to a whole image storage. This paper develops three methods to significantly reduce the memory cost. The runtime updating method (RUM) discards unnecessary data in runtime. The stripe-based integral histogram method (SBM) divides image...
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