Selective Contrast Adjustment by Poisson Equation
Ana-Belen Petro, Catalina Sbert
→ BibTeX
    title   = {{Selective Contrast Adjustment by Poisson Equation}},
    author  = {Petro, Ana-Belen and Sbert, Catalina},
    journal = {{Image Processing On Line}},
    volume  = {3},
    pages   = {208--222},
    year    = {2013},
    doi     = {10.5201/ipol.2013.41},
% if your bibliography style doesn't support doi fields:
    note    = {\url{}}
Ana-Belen Petro, and Catalina Sbert, Selective Contrast Adjustment by Poisson Equation, Image Processing On Line, 3 (2013), pp. 208–222.

Communicated by Luis Álvarez
Demo edited by José-Luis Lisani


Poisson Image Editing is a new technique permitting to modify the gradient vector field of an image, and then to recover an image with a gradient approaching this modified gradient field. This amounts to solve a Poisson equation, an operation which can be efficiently performed by Fast Fourier Transform (FFT). This paper describes an algorithm applying this technique, with two different variants. The first variant enhances the contrast by increasing the gradient in the dark regions of the image. This method is well adapted to images with back light or strong shadows, and reveals details in the shadows. The second variant of the same Poisson technique enhances all small gradients in the image, thus also sometimes revealing details and texture.