Image Dehazing Method Based on Orthogonal Polarization Image Stretching and Polarization Degree Correlation

Abstract

The invention discloses an image defogging method on the basis of cross-polarization image stretching and polarization degree correlation. The image defogging method includes the steps of: 1) acquiring two-time light intensity maps I<parallel> and I<vertical> under cross-polarization status; 2) performing histogram stretching to the light intensity map corresponding to the I<vertical>, thus forming stretch-corrected light intensity map; 3) according to polarization degree correlation, obtaining corrected I<parallel> light intensity map; 4) performing normalization processing to the corrected light intensity information under the two-time cross-polarization status, and respectively performing sum and difference treatment to obtain total light intensity I and polarization difference [delta]I; and 5) performing calculation with a difference polarization restoration model to obtain restoration image. Compared with the prior art, the quality of the restoration image, which is calculated from the corrected cross-polarization light intensity, is improved significantly, so that the method can overcome a defect of poor effect in a strong-scattering environment in the conventional methods and has extensive application range. The method can achieve image restoration only by performing image pre-treatment to the light intensity under the cross-polarization status with combination of a traditional physical model, so that the method has simple operations and significant effects.

Description

technical field [0001] The invention relates to an image defogging and restoration method, in particular to a polarization image defogging method based on orthogonal polarization image grayscale histogram stretching and polarization degree correlation. Background technique [0002] As one of the basic physical information of light waves, polarization information can provide information about the measured object that other light wave information cannot provide. Polarization imaging technology is a new type of optical detection technology developed based on this idea. Especially in strong scattering environments, target detection and recognition based on polarization imaging technology has unique advantages and special applications that cannot be compared with other imaging methods. The foundation of this field is the research of the Schechner group in Israel. It is assumed that the light entering the detector is composed of two parts, one part is the light actually reflected ...

AI Technical Summary

Problems solved by technology

However, in actual situations, the scattering medium (turbid liquid, haze, etc.) has a certain light intensity modulation effect on the object, which causes the acquired light intensity distribution of the reflected light of the object to deviate from the true value.

[0003] The traditional simplified model of polarization imaging has a more obvious restoration effect on low-concentration scattering media, but the effect on stronger scattering media is general.

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