A Scene Restoration Method for Light Field Correction Based on Consistent Spectral Estimation

Abstract

The invention discloses a scene restoration method for realizing light field correction based on consistent spectral estimation. The method comprises the following steps: the first step is to transmit the consistent spectral estimation of low-rank priori of mapping; the second step is to transmit the mapping estimation; the third step, Ambient light source estimation; the fourth step, imaging restoration method and its numerical algorithm. Beneficial effects: The consistent spectral method is given to obtain the approximation of the transmission mapping base, thereby establishing an effective transmission mapping estimation method, which can use software calculation to realize the removal of haze, sand and dust, and recovery of underwater transparency of imaging pictures. and other applications, as well as video-oriented related processing, and this method can also quickly and effectively estimate the depth of field. Numerical calculation can effectively and quickly realize image imaging and image restoration, and the research of the present invention has a robust processing effect and good reliability in real applications.

Description

technical field [0001] The invention relates to a scene restoration method, in particular to a scene restoration method for realizing light field correction based on consistent spectral estimation. Background technique [0002] At present, the research on the restoration of degraded images in harsh imaging environments (such as haze weather, dust weather, underwater and other imaging environments, hereinafter referred to as harsh environment imaging) is a major problem in the field of graphics and image processing research. It can not only be widely used in civilian imaging equipment (such as mobile phones, cameras, surveillance cameras, etc.) in daily life, but also has important applications in a large number of industrial applications, such as transportation equipment, remote sensing monitoring, etc. [0003] Up to now, there have been many researches on the restoration methods of harsh environment imaging at home and abroad, but these methods are to explore the imaging o...

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Problems solved by technology

[0003] Up to now, there have been many researches on the restoration methods of harsh environment imaging at home and abroad, but these methods are to separately explore the imaging of harsh environments such as haze weather, sandy weather, and underwater environment, and lack a unified and effective processing method. It is the key technical method in the restoration method - to obtain the transmission map, which lacks a unified method, which makes it necessary to judge the environmental conditions when the real equipment restores the image of the harsh environment, and then call the specific algorithm module, which limits the relevant methods. Practicality in the real application environment, and many current researches still focus on the local information processing of imaging, which increases the computational complexity of the restoration method, and it is difficult to realize the real-time performance of the processing algorithm

Therefore, the research on the restoration method of the above-mentioned harsh environment imaging is still not deep enough and not comprehensive enough, and there is still a need for continuous and continuous research

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