Global image enhancement in the DCT domain

The JPEG that applies discrete cosine transform (DCT) is one of the most popular image compression methods. Enhancement in the compressed domain offers two major advantages, including low computational complexity and storage space. To enhance an image in compression domain, the main issue is to develop an effective technique that limits the introduction of blocking artifacts. In this paper, we propose a new merging strategy to generate global DCT-like matrix, which achieve not only global enhancement but removing block artifacts in compressed-domain. In addition, we also propose multi-enhancement factors based on the distribution of frequency for fine tune image enhancement. From the simulation results, the proposed method provides an effective improvement for image enhancement and significant reduction in the introduction of block artifacts.

[1]  Sangkeun Lee,et al.  An Efficient Content-Based Image Enhancement in the Compressed Domain Using Retinex Theory , 2007, IEEE Transactions on Circuits and Systems for Video Technology.

[2]  Sos S. Agaian,et al.  Visualization using rational morphology and zonal magnitude reduction , 1998, Electronic Imaging.

[3]  M. Carli,et al.  Image Enhancement in the Compressed Domain , 2007, 2007 International Symposium on Signals, Circuits and Systems.

[4]  K WallaceGregory The JPEG still picture compression standard , 1991 .

[5]  Eli Peli,et al.  Image enhancement in the JPEG domain for people with vision impairment , 2004, IEEE Transactions on Biomedical Engineering.

[6]  Zia-ur Rahman,et al.  Statistics of visual representation , 2002, SPIE Defense + Commercial Sensing.

[7]  Eli Peli,et al.  Contrast in complex images 7 , 1990 .

[8]  S. Acton,et al.  Image enhancement using a contrast measure in the compressed domain , 2003, IEEE Signal Processing Letters.

[9]  Konstantinos Konstantinides,et al.  Image sharpening in the JPEG domain , 1999, IEEE Trans. Image Process..

[10]  SangKeun Lee Content-based image enhancement in the compressed domain based on multi-scale alpha-rooting algorithm , 2006, Pattern Recognit. Lett..

[11]  E. Peli Contrast in complex images. , 1990, Journal of the Optical Society of America. A, Optics and image science.