Image enhancement based on quadratic programming

Author

Jen, Tzu-Cheng ; Wang, Sheng-Jyh

Author_Institution

Inst. of Electron., Nat. Chiao Tung Univ., Hsinchu

fYear

2008

fDate

12-15 Oct. 2008

Firstpage

3164

Lastpage

3167

Abstract

In this paper, a simple but efficient image enhancement algorithm is proposed. We model the image enhancement problem as a quadratic programming problem, and the cost function of the optimization problem is formulated based on local gradients of an image. By adjusting the definitions of gain function and weighting function in the cost function, we can derive various kinds of intensity transfer functions to fit for different applications. Simulation results for contrast enhancement and shadow enhancement have demonstrated the feasibility of this approach in providing a flexible and efficient mechanism for image enhancement.

Keywords

gradient methods; image enhancement; quadratic programming; cost function; gain function; image enhancement; intensity transfer function; local gradient method; optimization; quadratic programming; weighting function; Adaptive equalizers; Computational complexity; Cost function; Electronic mail; Helium; Histograms; Image enhancement; Quadratic programming; Reflectivity; Transfer functions; image enhancement; programming; quadratic;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on

Conference_Location

San Diego, CA

ISSN

1522-4880

Print_ISBN

978-1-4244-1765-0

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2008.4712467

Filename

4712467