Speed Up Bilateral Filtering via Sparse Approximation on A Learned Cosine Dictionary
IEEE Transactions on Circuits and Systems for Video Technology(2020)
摘要
The edge-preserving bilateral filter (BF) is a widely used smoothing tool in many applications. However, its brute-force implementation depends on the size of the box window. The shortcoming causes BF time-consuming for the image processing task with a large window. To make the computational complexity irrelevant to the window size, sparse approximations of the filtering kernels are calculated on ...
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关键词
Kernel,Dictionaries,Convolutional codes,Quantization (signal),Sparse representation,Computational complexity,Transforms
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