Title :
Image enhancement with Green function
Author :
Zhihong Xi ; Lanfei Zhao ; Cunli Fu
Author_Institution :
Coll. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China
Abstract :
Due to the uncomfortable visual effect which was caused by traditional image enhancement algorithms, this paper proposes an effective image enhancement algorithm. Firstly, the digital image was divided into circular regions and the Dirichlet boundary conditions were calculated by adaptive luminance mapping. Secondly, the Poisson equation in gradient domain was obtained according to the information for each region. At last, we employed the method of image to get the solution of Possion equation. By making comparison with other algorithms, the experimental result shows that our algorithm improves the visual effect effectively.
Keywords :
Green´s function methods; Poisson equation; image enhancement; Dirichlet boundary condition; Green function; Poisson equation; adaptive luminance mapping; digital image; gradient domain; image enhancement algorithm; visual effect; Boundary conditions; Complexity theory; Green´s function methods; Image enhancement; Poisson equations; Standards; Visual effects; Dirichlet boundary condition; Green function; Poisson equation; image enhancement; method of image;
Conference_Titel :
Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on
Conference_Location :
KunMing
DOI :
10.1109/ICSPCC.2013.6663901