Compression artifacts reduction for MPEG-2 video utilizing total variation regularization method on CELL processor

Tanaka, Midori; Sakuta, Y.; Goto, Tomio; Hirano, Satoshi; Sakurai, Masaru

doi:10.1109/gcce.2012.6379558

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Noise Reduction System1

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2013

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“…It is a very effective method, but it removes small fine texture components from the original image. We propose an improved system, which performs regional filtering [2], and we tested this system on television using a CELL processor [4].…”

Section: Noise Reduction Systemmentioning

confidence: 99%

Implementation of MPEG-2 video compression artifact reduction system on GPU

Fukuoka

Goto

Hirano

et al. 2013

2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE)

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In this paper, we present our study on an MPEG-2 video compression noise reduction system that is based on the total variation regularization method and that uses the GPU. This system is very effective in removing image compression noise without losing picture sharpness. The problem with applying the total variation regularization method to motion pictures is the huge computational cost. Therefore, we implemented this system on the GPU, which is capable of massive computation in parallel, and we measured how fast it is processed. The experimental results show that the processing time of our system for Full HD images on the GPU is 7.81 ms, which is less than the 16.7 ms, for one frame time of HDTV. This result shows that our system can be applied to consumer devices such as HDTVs and PCs. Our system enables the adoption of noise removal for the next-generation HDTVs with 4K × 2K panels.

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Section: Noise Reduction Systemmentioning

confidence: 99%