Colour compressed sensing imaging via sparse difference and fractal minimisation recovery

• DOI: 10.1049/iet-ipr.2014.0346
• Publication Date: 2014-10-21T15:07:55Z
• Authors: Ji‐xin Liu; Xiao‐fei Li; Guang Han; Ning Sun; Kun Du; Quan‐sen Sun
• Keywords: Minimisation (clinical trials)

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 CS recovery l 1 ‐norm minimisation. Thus, this study proposes a novel framework. framework, improvements achieved: authors present difference to reduce SR in RGB imaging; use fractal dimension instead as object function actualise recovery. The feasibility our framework is proved by sseveral experiments.