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- W2954382844 abstract "Most of the image filtering algorithms involve nonlinear processing of high-dimensional data. Bilateral, joint bilateral, and non-local means filters are the examples of the same. Real-time implementation of high-dimensional filters has always been a research challenge. In this paper, we have proposed a solution utilizing color sparseness in an image which ensures a faster algorithm for generic high-dimensional filtering. The solution speeds up the filtering algorithm further by psycho-visual saliency lookup-table (LUT) evolved through iterations of batched image data processing. We use the proposed filtering algorithm with our LUT for edge-preserving smoothing and denoising of color images. The results demonstrate competitiveness of our proposed solution with existing fast bilateral algorithms in terms of both accuracy and performance." @default.
- W2954382844 created "2019-07-12" @default.
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- W2954382844 date "2018-12-01" @default.
- W2954382844 modified "2023-09-26" @default.
- W2954382844 title "A Faster High-Dimensional Bilateral Image Filtering By Efficient Utilization of Color Sparsness Offline" @default.
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- W2954382844 doi "https://doi.org/10.1109/aspcon.2018.8748818" @default.
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