Abstract:
The deconvolution problem appears in many real-world applications, such as Image deblurring, which is still an active field of research for image quality improvement. In ...Show MoreMetadata
Abstract:
The deconvolution problem appears in many real-world applications, such as Image deblurring, which is still an active field of research for image quality improvement. In this article, we have reviewed deconvolution task constituted as sparse recovery problem. We have also included signal recovery on both synthesis and analysis-sparse model, reflecting the sparsifying basis to be a tight frame. This paper has implemented different iterative algorithms to this problem and considered the standard metrics like Signal to Noise Ratio (SNR) for comparison.
Published in: 2021 International Symposium of Asian Control Association on Intelligent Robotics and Industrial Automation (IRIA)
Date of Conference: 20-22 September 2021
Date Added to IEEE Xplore: 04 November 2021
ISBN Information: