Human face eye area image enhancement method and system and shooting terminal

Abstract

The invention discloses a human face eye area image enhancement method and system and a shooting terminal. The method is characterized by, carrying out eye area feature point identification on an image to be processed to obtain an eye area; dividing the eye area into an eye pupil area and an eye white area; then, carrying out brightness enhancing processing on the eye pupil area and carrying out whiteness enhancing processing on the eye white area to obtain a brightness-enhanced eye pupil area and a brightness-enhanced eye white area respectively; and carrying out transition processing on the boundary between the eye pupil area and the eye white area to obtain a result image. Therefore, layering feeling of the eye area in the human face image can be enhanced effectively; the problems that adjustment effect is not obvious and natural, eye area layer cannot be restored and applicability is not high and the like in a conventional eye area enhancement algorithm are improved, and the effect of enhancing and beautifying the eye area in the human face image is achieved; the method is simple in algorithm, fast in operating speed and wide in application range; and the human face image eye area image enhancement effect is obvious and natural.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image enhancement method for the eye area of ​​a human face, a system for applying the method, and a shooting terminal. Background technique [0002] Eyes are the windows of the soul. In face image enhancement and beautification, the processing of the human eye area is a very important part. The physiological structure of the human eye is mainly composed of the eyeball and the white area of ​​the eye from the perspective of a two-dimensional image. The central circular part is called the pupil, the darkest area in the center of the pupil is the pupil, and the outer ring of the pupil is the iris. In human face images, the eye area usually presents bright and dark areas with great contrast. The dark eye pupil area usually loses more details in imaging, which needs to be restored and enhanced through post-image processing; the bright eye white area is usually easy to Af...

AI Technical Summary

Problems solved by technology

In human face images, the eye area usually presents bright and dark areas with great contrast. The dark eye pupil area usually loses more details in imaging, which needs to be restored and enhanced through post-image processing; the bright eye white area is usually easy to Affected by environmental light and other factors, problems such as color cast and noise occur; at the same time, because the eyes are very different from other areas of the face, it is difficult to achieve the desired effect with a global processing method, and it needs to be processed separately

[0003] The traditional human eye image enhancement method only makes simple adjustments to brightness and contrast, and uses fixed adjustment parameters for different images. This is prone to inconspicuous adjustment effects, unnatural adjustment effects, unrestored eye levels, and poor applicability. issues of strength

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