Enhancement of Color Images by Scaling the DCT Coefficients

Authors:
J. Mukherjee;S. K. Mitra
Affiliations:
Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Kharagpur;-
Venue:
IEEE Transactions on Image Processing
Year:
2008

Citing 0
Cited 10

Context-based defading of archive photographs

Journal on Image and Video Processing - Special issue on image and video processing for cultural heritage
On the use of color appearance modeling for efficient compressed-domain image enhancement

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Dynamic range compression based on statistical analysis

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Local MAP estimation for quality improvement of compressed color images

Pattern Recognition
Local rank transform: Properties and applications

Pattern Recognition Letters
Two-dimensional histogram equalization and contrast enhancement

Pattern Recognition
Automatic exposure correction of consumer photographs

ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Wavelet-based contrast enhancement of dark images using dynamic stochastic resonance

Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Automatic local exposure correction using bright channel prior for under-exposed images

Signal Processing
Fast image enhancement in compressed wavelet domain

Signal Processing

Quantified Score

Hi-index	0.01

Visualization

Abstract

This paper presents a new technique for color enhancement in the compressed domain. The proposed technique is simple but more effective than some of the existing techniques reported earlier. The novelty lies in this case in its treatment of the chromatic components, while previous techniques treated only the luminance component. The results of all previous techniques along with that of the proposed one are compared with respect to those obtained by applying a spatial domain color enhancement technique that appears to provide very good enhancement. The proposed technique, computationally more efficient than the spatial domain based method, is found to provide better enhancement compared to other compressed domain based approaches.