NDLI: Compressive sensed video recovery via iterative thresholding with random transforms

Content Provider	IET Digital Library
Author	Belyaev, Evgeny Codreanu, Marian Juntti, Markku Egiazarian, Karen
Abstract	The authors consider the problem of compressive sensed video recovery via iterative thresholding algorithm. Traditionally, it is assumed that some fixed sparsifying transform is applied at each iteration of the algorithm. In order to improve the recovery performance, at each iteration the thresholding could be applied for different transforms in order to obtain several estimates for each pixel. Then the resulting pixel value is computed based on obtained estimates using simple averaging. However, calculation of the estimates leads to significant increase in reconstruction complexity. Therefore, the authors propose a heuristic approach, where at each iteration only one transform is randomly selected from some set of transforms. First, they present simple examples, when block-based 2D discrete cosine transform is used as the sparsifying transform, and show that the random selection of the block size at each iteration significantly outperforms the case when fixed block size is used. Second, building on these simple examples, they apply the proposed approach when video block-matching and 3D filtering (VBM3D) is used for the thresholding and show that the random transform selection within VBM3D allows to improve the recovery performance as compared with the recovery based on VBM3D with fixed transform.
Starting Page	1187
Ending Page	1199
Page Count	13
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 6, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0661
Journal	IET Image Processing
Publisher Date	2020-01-29
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Biology And Medical Computing Block-based 2D Discrete Cosine Compressed Sensing Compressive Computer Vision And Image Processing Technique Different Transforms Discrete Cosine Transform Discrete Wavelet Transform Filtering Method in Signal Processing Filtering Theory Fixed Block Size Fixed Sparsifying Frame Residual Computation Algorithm Image And Video Coding Image Denoising Image Reconstruction Integral Transforms Iteration Iterative Method Iterative Thresholding Algorithm Medical Image Processing Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Random 2D Discrete Wavelet Random Selection Random Shift Random Transforms Resulting Pixel Value Simple Example Transform Video Block-matching Video Recovery Video Signal Processing
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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