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Adaptive trained filters with SSIM optimization for video upscaling with soft pixel value truncation

Publication date: 25.09.2014

Technical Transactions, 2013, Automatic Control Issue 4-AC (12) 2013, pp. 89-101

https://doi.org/10.4467/2353737XCT.14.050.3958

Authors

Zenoviy Veres
Department of Computerized Automatic Systems, Lviv Polytechnic National University
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Adaptive trained filters with SSIM optimization for video upscaling with soft pixel value truncation

Abstract

The paper presents the modified model for video upscaling based on the preservation of structural information from the input sequence in the adaptive trained filters. Additionally, it is proposed to make soft truncation of the result pixel value during the interpolation process. The evaluation of the proposed algorithm has shown good resulting for a variety of test sequences. The best results are obtained for a sequence with average bitrate and movement of the scene. Received results prove the algorithm is valuable for upscaling tasks.

References

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Information

Information: Technical Transactions, 2013, Automatic Control Issue 4-AC (12) 2013, pp. 89-101

Article type: Original article

Titles:

Polish:

Adaptive trained filters with SSIM optimization for video upscaling with soft pixel value truncation

English:

Adaptive trained filters with SSIM optimization for video upscaling with soft pixel value truncation

Authors

Department of Computerized Automatic Systems, Lviv Polytechnic National University

Published at: 25.09.2014

Article status: Open

Licence: None

Percentage share of authors:

Zenoviy Veres (Author) - 100%

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Adaptive trained filters with SSIM optimization for video upscaling with soft pixel value truncation

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