Blind image quality assessment based on fractal description of natural scenes. Issue 4 (1st February 2015)

• Record Type: Journal Article
• Authors: Ding, Yong; Zhang, Hang; Luo, Xiaohua; Dai, Hang
• Is Part Of: Electronics letters. Volume 51:Issue 4(2015)
• Page Start: 338
• Page End: 339
• Publication Date: 2015-02-01
• Subjects: image processing -- fractals -- natural scenes; blind image quality assessment -- fractal description -- natural scenes -- visual perception -- multifractal spectrum -- fractal dimension -- box‐counting method -- LIVE image database -- perceptual feature extraction; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2014.2781
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : Motivated by the observation that visual perception is quite sensitive to the irregularities of natural scenes, the incorporation of the multi‐fractal spectrum and the fractal dimension into blind image quality assessment for perceptual features extraction is introduced. On the basis of a box‐counting method, the multi‐fractal spectrum and fractal dimension are extracted from natural scenes and then their discrepancies are quantified. Experiments on the LIVE image database show that consistency with subjective evaluation is achieved. In addition, these are remarkable advantages when compared with other popular methods are demonstrated.