Quantitative Analysis of Blurry Color Image Fusion Techniques using Color Transform

Autor: Nawras Badeaa Mohammed, Haidar Mohamad, Heba Kh. Abbas, Ali Aqeel Salim
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Al-Mustansiriyah Journal of Science, Vol 34, Iss 3 (2023)
Druh dokumentu: article
ISSN: 1814-635X
2521-3520
DOI: 10.23851/mjs.v34i3.1373
Popis: 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 Perception-based Image Quality Evaluator). In results and depending on the criteria, the best fusion method is the proposed real standard deviation.
Databáze: Directory of Open Access Journals