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- Title
Quantitative Analysis of Blurry Color Image Fusion Techniques using Color Transform.
- Authors
Mohammed, Nawras Badeaa; Mohamad, Haidar; Abbas, Heba Kh.; Salim, Ali Aqeel
- Abstract
This work focuses on fused color images resulting from motion blur (left and right) with a blur block size of 11 pixels. The color conversion process was performed from RGB color space (Red, Green, Blue) to HSV (Hue, Saturation, Value), L*a*b*, and Ycbcr (Luminance, Chrominance) color space. The traditional (addition, multiplication) and proposed fusion techniques (absolute real standard deviation) were used for this purpose. The data was examined by quality criteria with reference (Mutual Information, Correlation Coefficient, Structural Content, Normalized Cross Correlation) and without reference (Blind Reference less Image Spatial Quality Evaluator, Naturalness Image Quality Evaluator, and Perceptionbased Image Quality Evaluator). In results and depending on the criteria, the best fusion method is the proposed real standard deviation.
- Subjects
IMAGE color analysis; IMAGE fusion; COLOR space; QUANTITATIVE research; CROSS correlation
- Publication
Al-Mustansiriyah Journal of Science, 2023, Vol 34, Issue 3, p132
- ISSN
1814-635X
- Publication type
Article
- DOI
10.23851/mjs.v34i3.1373