Assessment of the Wiener-Retinex process.

We assess the performance of the Retinex transformation, the Wiener restoration, and the combined Wiener-Retinex process in the context of the end-to-end model of color visual-communication channels for near-surface acquisition. We extend the formulations of panchromatic imaging for the nonlinear Retinex transformation and the linear Wiener and Wiener-Retinex restoration filters to color imaging. We further assess the accuracy by which colors are restored in the cases of uniform and spatially varying irradiance levels, and the shadow depth for which color consistency is still possible with reasonable accuracy. Finally, we assess the sensitivity of these processes to perturbations in the visual channel, including the image-gathering design and the spatial support of the Retinex transformation.

[1]  E H Land,et al.  An alternative technique for the computation of the designator in the retinex theory of color vision. , 1986, Proceedings of the National Academy of Sciences of the United States of America.

[2]  R. Richter A fast atmospheric correction algorithm applied to Landsat TM images , 1990 .

[3]  Rachel Alter-Gartenberg,et al.  Multiresolution Imaging: An End-to-End Assessment , 2004, Journal of Mathematical Imaging and Vision.

[4]  C. L. Fales,et al.  Visual communication with retinex coding. , 2000, Applied optics.

[5]  F. O. Huck,et al.  Image gathering and digital restoration , 1996, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[6]  S. Nolf,et al.  A sensitivity assessment of terrestrial identification in remote sensing , 2002 .

[7]  Richard H. Sherman,et al.  Chaotic communications in the presence of noise , 1993, Optics & Photonics.

[8]  R Alter-Gartenberg Information metric as a design tool for optoelectronic imaging systems. , 2000, Applied optics.

[9]  Zia-ur Rahman,et al.  A multiscale retinex for bridging the gap between color images and the human observation of scenes , 1997, IEEE Trans. Image Process..