2021
DOI: 10.1109/access.2021.3068772
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A Parallel Algorithm of Image Mean Filtering Based on OpenCL

Abstract: The image will be contaminated by noise during the imaging process, which severely degrades the image quality. It is necessary to filter the collected image. With the increasing amount of image data, the traditional single-processor or multiprocessor computing equipment has been unable to meet the requirements of real-time data processing. In this paper, the computational model of weighted mean filtering and the characteristics of high performance computer architecture are studied. An efficient hierarchical im… Show more

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Cited by 10 publications
(3 citation statements)
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“…Han Xiao et al [5] focuses extensively on the parallelization of image processing algorithms, particularly emphasizing the advantages of parallel computing using OpenCL. In the context of the weighted mean filtering algorithm, parallelization is crucial for achieving efficient and rapid processing of large-scale image datasets.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Han Xiao et al [5] focuses extensively on the parallelization of image processing algorithms, particularly emphasizing the advantages of parallel computing using OpenCL. In the context of the weighted mean filtering algorithm, parallelization is crucial for achieving efficient and rapid processing of large-scale image datasets.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The software methods mainly include mean filtering, median filtering, adaptive filtering, Wiener filtering and filtering based on wavelet transform [ 14 , 15 , 16 , 17 , 18 , 19 , 20 ]. In [ 14 ], an improved adaptive mean filtering algorithm is proposed by assigning a certain weight to the pixel gray values of the noise points in the filter template, which can effectively remove pulse noise points.…”
Section: Introductionmentioning
confidence: 99%
“…To demonstrate its high applicability and scalability, different algorithm mapping strategies on a GPU architecture and multi-GPU framework are adopted. In [ 17 ], the computational model of weighted mean filtering and the characteristics of a high-performance computer architecture are studied. Moreover, an efficient hierarchical image-weighted mean filtering parallel algorithm for Open Computing Language (OpenCL) is designed and implemented.…”
Section: Introductionmentioning
confidence: 99%