An SSM deblurring network that scans image features in interleaved intra-slice and inter-slice routes achieves state-of-the-art perceptual metrics on GoPro, HIDE, RWBI, and RealBlur datasets.
Barriers towards no-reference metrics application to compressed video quality analysis: on the example of no-reference metric NIQE
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This paper analyses the application of no-reference metric NIQE to the task of video-codec comparison. A number of issues in the metric behaviour on videos was detected and described. The metric has outlying scores on black and solid-coloured frames. The proposed averaging technique for metric quality scores helped to improve the results in some cases. Also, NIQE has low-quality scores for videos with detailed textures and higher scores for videos of lower bitrates due to the blurring of these textures after compression. Although NIQE showed natural results for many tested videos, it is not universal and currently can not be used for video-codec comparisons.
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XYScanNet: A State Space Model for Single Image Deblurring
An SSM deblurring network that scans image features in interleaved intra-slice and inter-slice routes achieves state-of-the-art perceptual metrics on GoPro, HIDE, RWBI, and RealBlur datasets.