A high dynamic range image fusion method to overcome the influence of dynamic problems

Abstract

A high dynamic range image fusion method for overcoming the influence of dynamic problems is used to solve the high dynamic range image fusion problem affected by the dynamics of shooting scenes and the shaking of imaging systems. Among them, the method of calibrating the camera response function based on the brightness mapping function is used to overcome the impact of dynamic problems on the calibration of the camera response function, and then the correction matrix is ​​introduced in combination with the total least square method to jointly compensate the error, so that high-precision image registration is not required That is, the camera response function of the imaging system can be obtained; and then the weight function is selected by analyzing the characteristics of the multi-exposure image sequence, and the high dynamic range image weight fusion function is constructed by combining the calibrated camera response function, and the high dynamic range image fusion is obtained by using the input multi-exposure image sequence result. The method of the invention can overcome the difficulty brought by the dynamic problem to camera response function calibration, and further improves the applicability of the multi-exposure high dynamic range fusion technology.

Description

Technical field [0001] The invention belongs to the technical field of image processing, and relates to a high dynamic range image fusion method suitable for solving the effects of shooting scene dynamics and imaging system shaking. Background technique [0002] Scenes with larger dynamic range often appear in real environments and battlefield environments, that is, both brighter and darker information appear in the same field of view. If the dynamic range of the shooting scene exceeds the dynamic range of the imaging device, the collected images will be oversaturated or undersaturated, which will affect the collection and recognition of target information. For example, due to the excessively bright tail flame of the launched missile, the collected image will be saturated, so that the missile body cannot be seen clearly, and the target analysis will be affected. Therefore, in order to facilitate target observation, higher requirements are put forward on factors such as observati...

AI Technical Summary

Problems solved by technology

The algorithm requires accurate registration of multi-exposure image sequences of static scenes as input to calibrate the camera response function. When the shooting scene is affected by dynamic problems or the camera shakes, it will bring great difficulties to image registration, so that it cannot be performed. Camera response function calibration, that is, the algorithm cannot overcome the impact of dynamic problems; moreover, the high dynamic range image fusion obtained by using this algorithm has color cast, and it is necessary to combine the corresponding color correction algorithm to white balance the output result

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