Halide implementation of weighted median filter

Akari Ishikawa; Hiroshi Tajima; Norishige Fukushima

doi:10.1117/12.2566536

1 June 2020 Halide implementation of weighted median filter

Akari Ishikawa, Hiroshi Tajima, Norishige Fukushima

Proceedings Volume 11515, International Workshop on Advanced Imaging Technology (IWAIT) 2020; 115152W (2020) https://doi.org/10.1117/12.2566536
Event: International Workshop on Advanced Imaging Technologies 2020 (IWAIT 2020), 2020, Yogyakarta, Indonesia

Abstract

With the recent extension of camera applications, image filtering is essential in image processing. Weighted median filtering is one of the image denoising method. The weighted median filter can be more useful for removing noise and blurring correction; however, its computational cost is high. Halide is a domain-specific language for image processing. By using Halide, we can easily optimize the code of image processing. In this study, we present weighted median filter with Halide code. Experimental results show that we can easily write the weighted median filter code.

Citation Download Citation

Akari Ishikawa, Hiroshi Tajima, and Norishige Fukushima "Halide implementation of weighted median filter", Proc. SPIE 11515, International Workshop on Advanced Imaging Technology (IWAIT) 2020, 115152W (1 June 2020); https://doi.org/10.1117/12.2566536

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