Quantitative Analysis of Blurry Color Image Fusion Techniques using Color Transform
DOI:
https://doi.org/10.23851/mjs.v34i3.1373Keywords:
Motion Blur, Colour Space Transformation, Fusion Techniques, Quality CriteriaAbstract
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.
Received: 17/04/2023
Revised: 21/05/2023
Accepted: 28/05/2023
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