Image processing method, system and shooting terminal for optimizing edge aliasing

Abstract

The invention discloses an image processing method, system and shooting terminal for optimizing edge aliasing. The method herein comprises the following steps: conducting smooth processing on a contour of which an image is to be processed to obtain a smooth closed contour curve, using the closed contour curve to conduct morphological reconstruction and Gaussian Blur processing on the image to be processed to obtain a fuzzy image of a binary image, then conducting a one-time gray scale statistics and threshold value processing on all the edges of the fuzzy image to obtain a first gray scale mapping table, and in accordance with the first gray scale mapping table, calculating so as to obtain a gray scale image, and further conducting a second gray scale statistics and threshold value processing on the aliasing edge of the gray scale image to obtain a second gray scale mapping table, and in accordance with the second gray scale mapping table, adjusting the aliasing edge to obtain an anti-aliasing image. According to the invention, the algorithm is simple, the operation speed is fast, and the improvement on the aliasing edge is explicit, and the application range is wide.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image processing method for optimizing edge jaggies, a system for applying the method, and a shooting terminal. Background technique [0002] Anti-aliasing (English: anti-aliasing, referred to as AA), also translated as anti-aliasing or edge softening, anti-aliasing, anti-image folding loss, etc. It is a technology to eliminate the concave and convex jaggedness on the edge of the image in the output screen of the monitor. Those concave and convex jagged are usually caused by high resolution signals expressed in low resolution or unable to accurately calculate the coordinate positioning of 3D graphics. Anti-aliasing technology can effectively solve these problems. It is usually used in digital signal processing, digital photography, computer graphics and digital sound effects to soften aliased digital signals. [0003] Because the high-resolution source signal or con...

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Problems solved by technology

[0003] Because the high-resolution source signal or continuous analog signal can store more data, but when sampling (sampling), more data will be replaced by fewer data points, and some data will be ignored, causing the sampling result to be inaccurate. Loss, causing the machine to overlap and lose each other when converting the sampled digital signal into a human-recognizable analog signal, in the sound, there will be harsh, dissonant tones or noise

Similarly, in 3D drawing, each graphic is composed of pixels, and each momentary picture is com

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