ICRICS: iterative compensation recovery for image compressive sensing

Closed-loop architecture is widely utilized in automatic control systems and attains distinguished dynamic and static performance. However, classical compressive sensing systems employ an open-loop architecture with separated sampling and reconstruction units. Therefore, a method of iterative compen...

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Veröffentlicht in:Signal, image and video processing image and video processing, 2023-09, Vol.17 (6), p.2953-2969
Hauptverfasser: Li, Honggui, Trocan, Maria, Sawan, Mohamad, Galayko, Dimitri
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container_end_page 2969
container_issue 6
container_start_page 2953
container_title Signal, image and video processing
container_volume 17
creator Li, Honggui
Trocan, Maria
Sawan, Mohamad
Galayko, Dimitri
description Closed-loop architecture is widely utilized in automatic control systems and attains distinguished dynamic and static performance. However, classical compressive sensing systems employ an open-loop architecture with separated sampling and reconstruction units. Therefore, a method of iterative compensation recovery for image compressive sensing is proposed by introducing a closed-loop framework into traditional compressive sensing systems. The proposed method depends on any existing approaches and upgrades their reconstruction performance by adding a negative feedback structure. Theoretical analysis of the negative feedback of compressive sensing systems is performed. An approximate mathematical proof of the effectiveness of the proposed method is also provided. Simulation experiments on more than 3 image datasets show that the proposed method is superior to 10 competing approaches in reconstruction performance. The maximum increment of the average peak signal-to-noise ratio is 4.36 dB, and the maximum increment of the average structural similarity is 0.034 based on one dataset. The proposed method based on a negative feedback mechanism can efficiently correct the recovery error in the existing image compressive sensing systems.
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subjects Automatic control systems
Closed loops
Compensation
Computer Imaging
Computer Science
Datasets
Engineering Sciences
Error correction
Image Processing and Computer Vision
Iterative methods
Multimedia Information Systems
Negative feedback
Original Paper
Pattern Recognition and Graphics
Reconstruction
Recovery
Signal to noise ratio
Signal,Image and Speech Processing
System effectiveness
Vision
title ICRICS: iterative compensation recovery for image compressive sensing
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