Title :
A nonlinear image enhancement algorithm based on partial differential equations
Author :
Han, Xizhen ; Jian, Zhao
Author_Institution :
Changchun Inst. of Opt., Fine Mech. & Phys., Chinese Acad. of Sci., Changchun, China
Abstract :
Image enhancement and image de-noising have being the important research contents of image academic and engineering field, and the partial differential equations have been widely applied to computer vision. The paper applies the thoughts of partial differential equations, puts forward a new improved method of image enhancement. This method can enhance not only the dark images but also the bright images, making the details hidden in the dark background and the bright background very clear. The application scope is wider, and the visual effect is better. This paper uses the finite difference method to discrete the partial differential equations, and combines with the heat equation. It calculates simple, runs fast, and provides a guarantee for real-time video image enhancement processing.
Keywords :
computer vision; finite difference methods; image denoising; image enhancement; partial differential equations; bright background; bright images; computer vision; dark background; dark images; finite difference method; heat equation; image de-noising; nonlinear image enhancement; partial differential equations; video image enhancement processing; visual effect; Entropy; Equations; Finite difference methods; Histograms; Image enhancement; Mathematical model; Partial differential equations; Finite Difference Method; Image Enhancement; Partial Differential Equations;
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
DOI :
10.1109/ICOSP.2010.5655875