Wide dynamic fusion method and device

Abstract

The invention provides a wide dynamic fusion method and device. The method includes the steps that under standard test conditions, a standard test target is exposed under different light rays for N times under different gains, and noise variance and brightness curves are obtained under the corresponding gains; M frames of images of a shot object at different shutter time are obtained; according to the noise variance and brightness curve under the current gain, a noise variance of a pixel point is determined, the size of a corresponding preprocessing filter template is determined according to the noise variance and filtering is carried out; according to the noise variance, the size of a denoising filter corresponding to the pixel point is determined and filtering is carried out; layered processing is carried out on each frame of the images after denoising, brightness information of the M frames of the images is fused, texture information of the M frames of the images is fused, the fused brightness information and the fused texture information are superposed, and a wide dynamic image is output. According to the wide dynamic fusion method and device, the image denoising effect is effectively improved, and the wide dynamic image can contain detail information as much as possible.

Description

technical field [0001] The present invention relates to the technical field of image processing, and in particular, to a wide dynamic fusion method and device. Background technique [0002] The camera has the characteristics of wide monitoring angle of view and easy installation. However, due to the relatively small dynamic range of the image of the general camera, when the contrast of the monitoring scene is large, such as capturing objects in backlight or capturing objects of indoor and outdoor scenes at the same time, shooting image quality is poor. In view of this, wide dynamic camera came into being. Wide dynamic technology is a technology used to let the camera see the characteristics of the image under very strong contrast. When high-brightness areas illuminated by strong light sources (such as sunlight, lamps or reflections, etc.) and relatively low-brightness areas such as shadows and backlights coexist in the image, the image output by the camera will appear brig...

AI Technical Summary

Problems solved by technology

The first method can only increase the subjective effect, and cannot recover the image information loss problem caused by insufficient dynamic range, and when the image gain increases, the image noise also increases; in the second method, the image information comes from different exposure image, the noise distribution of the fused image changes greatly, and it is difficult to perform noise estimation and denoising processing based on the fused image

In addition, since the previous multi-frame fusion algorithms often only consider the fusion of brightness information, image detail texture information is easily lost

Images