Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2011-07-19
Journal of Global Research in Computer Science,Volume 2, No. 5, May 2011
Computer Science
Computer Vision and Pattern Recognition
Image Fusion, Color Models, IHS, HSV, HSL, YIQ, transformations
Scientific paper
The IHS sharpening technique is one of the most commonly used techniques for sharpening. Different transformations have been developed to transfer a color image from the RGB space to the IHS space. Through literature, it appears that, various scientists proposed alternative IHS transformations and many papers have reported good results whereas others show bad ones as will as not those obtained which the formula of IHS transformation were used. In addition to that, many papers show different formulas of transformation matrix such as IHS transformation. This leads to confusion what is the exact formula of the IHS transformation?. Therefore, the main purpose of this work is to explore different IHS transformation techniques and experiment it as IHS based image fusion. The image fusion performance was evaluated, in this study, using various methods to estimate the quality and degree of information improvement of a fused image quantitatively.
Al-Wassai Firouz Abdullah
Al-Zuky Ali A.
Kalyankar Namdeo V.
No associations
LandOfFree
The IHS Transformations Based Image Fusion does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with The IHS Transformations Based Image Fusion, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The IHS Transformations Based Image Fusion will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-515547