Defogging strengthening method for transmissivity/dark channel prior based on spectral characteristic

Abstract

The invention discloses a defogging strengthening method for transmissivity / dark channel prior based on a spectral characteristic, belonging to the field for processing images and visual effects of computers. The method comprises the steps of: (1) solving a visual perceptual stimuli weight matrix of human eyes for an RGB (Red Green Blue) image; (2) calculating the visual perceptual stimuli weight matrix of the human eyes of three transmissivity channels under three independent spectral wavelength ranges; (3) solving the three corresponding transmissivity channels Tc (x, y); (4) solving a value Ac of atmospheric lights in transmissivity space so as to solve a defogging restored map Jc (x, y) and in a diffusion map t (x, y) in the transmissivity space Tc (x, y); and (5) solving an enhancement coefficient matrix C0 in the three transmissivity channels so as to form a defogging image J<RGB> (x, y) finally. Experiment shows that visuality of the images can be obviously improved by using the method provided by the invention.

Description

technical field [0001] The invention belongs to the field of image processing and computer vision effect processing, and more specifically relates to a color image transmittance-dark channel prior defogging enhancement method based on the spectral characteristics of natural scenes. Background technique [0002] Outdoor natural scenes are often poorly imaged due to weather conditions, mainly due to the scattering effect of small particles in the atmosphere. Document 1 (S.G.Narasimhan, S.K.Nayar.Vision and the atmosphere.International Journal of Computer Vision, 2002,48(3):233-254) analyzed haze (mist), fog, cloud according to the size and concentration of atmospheric particles The impact of rain and snow on imaging, and the loss of image information in terms of contrast and color fidelity will inevitably affect the normal operation of some outdoor imaging application systems, such as video surveillance, traffic detection, etc. Image defogging technology can enhance image con...

AI Technical Summary

Problems solved by technology

However, in these two documents, only one aspect of the dark channel prior defogging algorithm was improved, such as the selection of sky light, the replacement algorithm of the soft matting algorithm, etc., and did not give the dark channel prior. Theoretical analysis supports and essentially improves the theory. At the same time, for the problem of darker images after defogging, there is also a lack of effective image enhancement methods in the literature. The effect of traditional and improved defogging methods based on dark channel priors are not ideal

Images