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In this paper a new FPGA design concept of a bilateral filter for image processing is presented. With the aid of this design the bilateral filter can be realized as a highly parallelized pipeline structure with very good utilization of dedicated resources. The innovation of the design concept lies in sorting the input data into groups in a manner that kernel based processing is possible. Another feature...
In this paper efficient hardware architecture for deblocking filter in H.264 is presented. A parallel filtering order is proposed without violating the standard, and the architecture is implemented in pipelined dataptah. With the parallel filtering order the vertical edges and horizontal edges can be processed simutaneously, and the filtering efficiency is improved. The memory is arranged and orgnized...
The image foresting transform (IFT) is a general tool for the design of image processing operators based on dynamic programming. Silicon image forest transform (SIFT) is a fast 8-bit data architecture for IFT-based operators in FPGA. It can implement queue-based methods such as morphological reconstructions, watershed transforms, shape saliences, distance transforms, skeletonization, edge tracking,...
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