Method for eliminating red eye in image

Abstract

The invention discloses an automatic method for eliminating a red eye, directly utilizing a human face image of a YUV format to eliminate and revise the red eye. A red-eye positioning operation comprises an image dividing step, a closed calculation step and a geometric characteristic limiting step, wherein in the image dividing step, redness division is carried out on an input YUV format drawing by directly utilizing an Y quantity and a V quantity to obtain a binary image of a plurality of communicating regions. For removing an isolating noise point and filling a hole of a division region, closed calculation operation can be carried out on each divided region, and a value of a mask size m is determined through size self-adaptation of the human face image in the invention. In the geometric characteristic limiting step, geometric characteristic detection is carried out on each communicating region in the binary image containing a plurality of communicating regions, and each communicating region which accords with the geometric characteristic of the red eye is determined as a red-eye region; and red-eye revision is carried out on the red-eye region in the human face image. The treatment speed of red-eye elimination can be enhanced by using the invention.

Description

technical field [0001] The invention relates to digital image processing technology, in particular to a method for eliminating red eyes in images. Background technique [0002] "Red eye effect" is a phenomenon that occurs when taking pictures. It refers to the red dot phenomenon formed in the center of the pupil of the human eye caused by the reflection of the blood vessels in the fundus of the subject when the flashlight is used to take photos of people. When the ambient light is relatively dark, it will magnify, and the strong light from the short-distance flash will shine on the microvascular tissue behind the retina through the enlarged pupil, and reflect back red light, causing the actual imaged photo to appear "red-eye". Red eye is very different from the color of commonly recognized eyes and degrades the quality of the photo, so it is not necessary to remove red eye in photos. [0003] The red-eye removal method in the prior art is mainly based on RGB (Red, Green, Bl...

AI Technical Summary

Problems solved by technology

[0006]The existing red-eye removal technology is mostly based on the RGB color space for red-eye removal processing, so when it is necessary to perform red-eye removal processing on YUV images, all YUV images must be Convert to RGB image for processing

The converted RGB image will inevitably occupy more memory space, and the conversion of a large amount of image data will also affect the processing speed of red-eye removal

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