컬러 영상의 압축센싱을 위한 평활 그룹-희소성 기반 반복적 경성 임계 복원Smoothed Group-Sparsity Iterative Hard Thresholding Recovery for Compressive Sensing of Color Image
- Other Titles
- Smoothed Group-Sparsity Iterative Hard Thresholding Recovery for Compressive Sensing of Color Image
- Authors
- Viet Anh Nguyen[Viet Anh Nguyen]; 전병우[전병우]; Khanh Quoc Dinh[Khanh Quoc Dinh]; Chien Van Trinh[Chien Van Trinh]; 박영현[박영현]
- Issue Date
- 2014
- Publisher
- 대한전자공학회
- Keywords
- Compressive sensing; Color image; iterative hard thresholding; group-sparsity
- Citation
- 전자공학회논문지, v.51, no.4, pp.173 - 180
- Indexed
- KCI
- Journal Title
- 전자공학회논문지
- Volume
- 51
- Number
- 4
- Start Page
- 173
- End Page
- 180
- URI
- https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/55422
- ISSN
- 2287-5026
- Abstract
- Compressive sensing is a new signal acquisition paradigm that enables sparse/compressible signal to be sampled under the Nyquist-rate. To fully benefit from its much simplified acquisition process, huge efforts have been made on improving the performance of compressive sensing recovery. However, concerning color images, compressive sensing recovery lacks in addressing image characteristics like energy distribution or human visual system. In order to overcome the problem, this paper proposes a new group-sparsity hard thresholding process by preserving some RGB-grouped coefficients important in both terms of energy and perceptual sensitivity. Moreover, a smoothed group-sparsity iterative hard thresholding algorithm for compressive sensing of color images is proposed by incorporating a frame-based filter with group-sparsity hard thresholding process. In this way, our proposed method not only pursues sparsity of image in transform domain but also pursues smoothness of image in spatial domain. Experimental results show average PSNR gains up to 2.7dB over the state-of-the-art group-sparsity smoothed recovery method.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - Information and Communication Engineering > School of Electronic and Electrical Engineering > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/55422)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.