An image processing method, device, and system

Abstract

The invention discloses an image processing method, apparatus and system. The method comprises: obtaining zoom configuration parameters and chroma resampling configuration parameters of an image; based on the zoom configuration parameters of the image, generating a brightness signal filter; based on the chroma resampling configuration parameters of the image, generating a chroma signal filter; filtering the brightness signals of an input image by use of the brightness signal filter, and filtering the chroma signals of the input image by use of the chroma signal filter so as to obtain an output image. According to the technical scheme provided by the invention, image zoom and chroma resampling processes are simultaneously processed through a filter group during an image processing process, the system complexity is reduced, hardware is simplified, power consumption is reduced, and the quality of the output image is improved.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to an image processing method, device and system. Background technique [0002] With the development of computer technology, image processing technology has been widely used. In order to display, encode or otherwise process the image acquired by the imaging sensor, the image is often converted to a bright color separation color space such as YUV, and then the image is properly scaled and chromaticity compressed to adapt to the display and encoder. Or other processing device needs. The YUV color space is a color coding method widely used in image processing, and the luminance signal Y and the chrominance signals U and V of the YUV color space are separated. [0003] As a basic image processing technique, image scaling plays an important role in practical applications. Image scaling can be regarded as an image resampling process. Image scaling converts an image of one resolu...

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Problems solved by technology

[0006] The deficiencies in the methods of the above-mentioned prior art are: the existing methods adopt image zooming and chroma resampling separation processing, which will cause the system to have a huge structure, large power consumption, and long processing time; The common and simple method adopted in the process of high-resolution resampling to reduce system complexity and hardware cost will cause aliasing of the sampled image signal, resulting in aliasing of the image

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