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- Title
Colour compressed sensing imaging via sparse difference and fractal minimisation recovery.
- Authors
Liu, Ji‐xin; Li, Xiao‐fei; Han, Guang; Sun, Ning; Du, Kun; Sun, Quan‐sen
- Abstract
In colour compressed sensing (CS) imaging, the current two bottlenecks for application are (1) high computation cost of sparse representation (SR) with over‐complete dictionary and (2) unsatisfactory imaging quality of CS recovery with l1‐norm minimisation. Thus, this study proposes a novel colour CS imaging framework. In the framework, two improvements are achieved: (1) the authors present the sparse difference to reduce the computation cost of SR in RGB colour imaging; (2) the authors use fractal dimension instead of l1‐norm as the object function to actualise high quality CS recovery. The feasibility of our colour CS imaging framework is proved by sseveral experiments.
- Publication
IET Image Processing (Wiley-Blackwell), 2015, Vol 9, Issue 5, p369
- ISSN
1751-9659
- Publication type
Article
- DOI
10.1049/iet-ipr.2014.0346