Digital image processing
Content-based image enhancement in the compressed domain based on multi-scale α-rooting algorithm
Pattern Recognition Letters
An algorithm for integrated noise reduction and sharpness enhancement
IEEE Transactions on Consumer Electronics
New concepts on denoising and sharpening of video signals
IEEE Transactions on Consumer Electronics
Robust and efficient algorithm of image enhancement
IEEE Transactions on Consumer Electronics
Transform-based image enhancement algorithms with performance measure
IEEE Transactions on Image Processing
A nonlinear image contrast sharpening approach based on Munsell's scale
IEEE Transactions on Image Processing
| Hi-index | 0.00 |
In this paper we present a new DCT-based method for combined de-noising and sharpening of color images. Our solution combines alpha-rooting and thresholding the DCT coefficients to achieve both sharpening and noise reduction. In our approach, sharpening and de-noising are done in the YUV color space with Y, U and V components being processed differently. Moreover, the size of the sliding DCT transform is variable and adaptive to the local characteristics of the input image thus increasing the visual quality of the processed image. We describe our method in detail and we present experimental results, performed on color images, to compare its performance with other existing solutions.