Method, device and electronic equipment for obtaining spatial frequency response curve

Abstract

The present invention provides a method, device and electronic equipment for obtaining a spatial frequency response curve. The method for obtaining the spatial frequency response curve includes: obtaining a region of interest in an input image; filtering the region of interest to obtain edge sub-pixels information; obtain an edge spread function according to the edge sub-pixel information; obtain a spatial frequency response curve according to the edge spread function. In the embodiment of the present invention, edge protection filtering is performed on the original edge data of the region of interest before obtaining the edge spread function, so as to better suppress pixel value fluctuations caused by random noise. Compared with other filtering methods, this method has a better edge protection effect, and can reflect the real information of the edge more effectively in the process of edge extraction.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method, device and electronic equipment for acquiring a spatial frequency response curve. Background technique [0002] With the increasing update of mobile phone camera-related technologies, consumers have higher and higher demands on the quality of mobile phone cameras. Modules such as lens, CMOS sensor, and ISP are all key factors that affect the final image quality. The quality of the lens has a great impact on its subsequent processing, such as the strength of the light signal received by the pixel, noise shape, sharpness, etc. The optical system has physical constraints on the imaging process, and the optical transfer function attenuates gradually with the increase of the spatial frequency. Therefore, how to measure the quality of the lens, CMOS sensor and even the entire optical imaging system has become an important topic, among which sharpness is an ...

AI Technical Summary

Problems solved by technology

[0004] Usually the edge sharpness of the image can be calculated by the spatial frequency response, but because the image itself will cause differences between the edge signal in the final image and the actual edge signal in the process of signal processing such as optical imaging, sampling, interpolation, etc., often in the edge The noise at the signal is likely to cause great interference to the edge signal fitting

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