Image filtering processing method and device for quickly realizing multiple effects

Abstract

The invention discloses an image filtering processing method and device for quickly realizing multiple effects. The method comprises the following steps: firstly, generating an initial color reference image which comprises m*m color blocks, and each color block is m<2>*m<2> in size, then regulating the color value of each color block of the initial color reference image according to a needed filtering algorithm to obtain a corresponding filtering reference image, and finally performing mapping treatment on the color valve of each pixel point of an image to be processed and the filtering reference image by utilizing an interpolation algorithm to obtain the color value of each pixel point of the image to be processed after mapping of the filtering reference image, so as to obtain an effect image. According to the image filtering processing method and device for quickly realizing multiple effects, the speed is high and the filtering effect is not affected; the performance improvement times is equal to the sum of algorithm steps of filtering, so that the processing time is shortened when multiple-step and big-batch processing is performed.

Description

Technical field

[0001] The invention relates to the technical field of image processing, in particular to an image filter processing method for quickly realizing multiple effects and a device applying the method. Background technique

[0002] Digital images acquired by digital shooting equipment are widely accepted and used in real life and work. Taking into account the impact of digital camera accuracy and lighting environment and other factors, the image effect obtained may not be good enough, such as the color is not bright enough, and the brightness is not good enough. Good, poor color, etc., so we often use image processing software to enhance the effects of the captured image after taking a photo to obtain a digital image, such as brightness / contrast adjustment, color level adjustment, curve adjustment, exposure adjustment, color Balance adjustment, inverse color adjustment, threshold adjustment, saturation, optional colors, color temperature, etc., after these processing, ...

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