Colour in Context
Research group Computer Vision Center |
BiWaM is a wavelet-based computational model that attempts to reproduce the perceptual processes involved in visual brightness induction (Otazu X, Vanrell M, Parraga CA, "Multiresolution wavelet framework models brightness induction effects", Vision Research, 48(5),733-751, 2008).
BIWaM takes an input image and considers it to be the stimulus received by the observer. The model then generates an output image that is an estimation of the image as "perceived" by the same observer (perceptual image). We would like to stress that, since this output image corresponds to the perceived image, the input and output images look very different. You will not see two identical images: YOUR visual system is processing the output image for a second time while you watch it onscreen. As a result, all the useful information that the output image provides is contained in its numerical values (LMS* or sRGB values), rather than in the actual appearance of the image. The user simply has to upload a colour image in any common image file format and specify the colour space of the image (LMS* or sRGB). The system will output the perceptual image in the same colour space. *Stockman and Sharpe (2000) 2-deg cone sensitivities |
Select file to upload Max file size = 5 MB |