Haze removal and enhancement using transmittance-dark channel prior based on object spectral characteristic

Images of outdoor scenes are usually degraded because of haze, fog and so on. Considering the atmospheric scattering model and object spectral characteristic, we expand dark channel prior and compute the transmittance channels in the LMS model to reduce corrections between RGB channels, and we also propose an adaptive LIPC algorithm to enhance the haze removal images based on logarithmic image processing (LIP). Results show that dark channel prior acts better in the transmittance channels than in RGB channels because of its lower correction with each other, and that haze removal images enhanced with LIPC are more credible and acceptable. Copyright © 2013 Acta Automatica Sinica. All rights reserved.