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Parallel Image Denoising Algorithm Based on Static Load Balancing Strategy

Shumei Yan, Haiyan Guo

Abstract


In order to improve the performance of large data volume image denoising, this paper uses parallel algorithm to eliminate the noise and the DUD static load balancing strategy to improve the data handling capacity of the algorithm and ensure the multi-load operation efficiency. In the denoising process, this paper introduces the control functions: one is the diffusion control function of direction constructed by noise visibility function; another is the diffusion control function of direction with the brightness shielding function. It also enable each node to send a task request information spontaneously according to its performance parameters and load condition to forward equalizer through DUD mechanism, which improves the image denoising performance and multi-load operation efficiency.

Keywords


image denoising, parallel algorithm, control function, static load balancing, DUD algorithm.

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