An Algorithm for Repairing Low-Quality Video Enhancement Techniques Based on Trained Filter

Details An Algorithm for Repairing Low-Quality Video Enhancement Techniques Based on Trained Filter An Algorithm for Repairing Low-Quality Video Enhancement Techniques Based on Trained Filter

2011-03-02

arxiv.org/abs/1103.0540v1

Computer Science

Computer Vision and Pattern Recognition

Part of the work is published as a journal paper titled "Repairing imperfect video enhancement algorithms using classification

Scientific paper

10.1007/s11760-010-0202-8

Multifarious image enhancement algorithms have been used in different applications. Still, some algorithms or modules are imperfect for practical use. When the image enhancement modules have been fixed or combined by a series of algorithms, we need to repair them as a whole part without changing the inside. This report aims to find an algorithm based on trained filters to repair low-quality image enhancement modules. A brief review on basic image enhancement techniques and pixel classification methods will be presented, and the procedure of trained filters will be described step by step. The experiments and result comparisons for this algorithm will be described in detail.

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