Name
Title | ||
|---|---|---|
Application of Adaptive Unsharp Masking technique to color images with optimum parameters selection |
Abstract | ||
|---|---|---|
Image processing has been the focal point of considerable research activity in the last decade mainly because of its wide application areas. With the help of existing image enhancement technique, Adaptive Unsharp Masking (AUM), proposed optimum parameters selection procedure has significant effects in terms of sharpness and contrast adjustment in color images. The experimental results prove that AUM technique, which is applied to color images in this study, converges to a minimum mean square error as in the case of gray scale images. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/SIU.2013.6531185 | Signal Processing and Communications Applications Conference |
Keywords | Field | DocType |
image colour analysis,image enhancement,mean square error methods,AUM technique,adaptive unsharp masking technique,color image,contrast adjustment,gray scale image,image enhancement,image processing,image sharpness,minimum mean square error,optimum parameter selection,Gauss-Newton Algorithm,adaptive filtering,image enhancement,minimum mean square error | Unsharp masking,Computer vision,Focal point,Pattern recognition,Computer science,Minimum mean square error,Image processing,Artificial intelligence,Grayscale | Conference |
ISSN | ISBN | Citations |
2165-0608 | 978-1-4673-5561-2 | 0 |
PageRank | References | Authors |
0.34 | 2 | 2 |