Method and system for enhancing image edge

Abstract

The invention discloses a method for enhancing an image edge. The method comprises the following steps of: establishing a matrix with a 3x3 brightness value by taking an enhanced point in a YUV image data as a central pixel; calculating gradient brightness values of the central pixel in different directions and judging whether the edge of the central pixel is a bright edge or a dark edge according to the gradient brightness values of the central pixel in the different directions; judging the edge orientation of the central pixel according to the gradient brightness values in different directions; and enhancing the edge of the image data according to the edge orientation of the central pixel and the edge types thereof. In the invention, the image edge is divided into the dark edge and the bright edge and the dark edge and the bright edge are processed separately, so different enhancement values can be superposed to make control and adjustment very convenient and flexible, and the brightness contrast of the edge is enhanced to make the edge look sharper; and meanwhile, the phenomenon that the transient distortion of the edge caused by enhancing the edge can be avoided.

Description

technical field [0001] The invention belongs to the field of digital image processing, in particular to an image edge enhancement method and system. Background technique [0002] Due to the characteristics of small size, low power consumption and high integration level of CMOS sensor, CMOS sensor is more and more widely used in portable electronic products. Most portable devices such as mobile phones, MP4, PDA, and notebook computers are almost equipped with cameras. Let people record unforgettable moments anytime, anywhere. With the development of semiconductor process technology, the performance of CMOS sensor pixels in acquiring image data is getting better and better. However, after obtaining high-quality source image data, it is not complete. The image data obtained directly from the pixels is in the form of Bayer, which is far from the image actually seen by our human eyes. Therefore, in order to obtain an image effect close to that seen by the human eye, we need to ...

AI Technical Summary

Problems solved by technology

[0003] If the edge enhancement process is performed according to the general edge enhancement method, that is, the processing method that does not distinguish between the dark edge and the bright edge of the edge, the edge difference is simply increased, which will inevitably lead to darker edges. brighter edges

If the edge difference is increased too much, it is easy to cause an obvious white line on the side of the bright edge; if the edge difference is not increased enough, the contrast is not obvious enough, and the image edge is not sharp enough

In this way, the sharpness of the edge is difficult to control.

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