Best quality image acquiring method in bottom layer image mining

Abstract

A method for obtaining an optimum quality image from lower layer image mining comprises the following steps: (1) detecting the gray level spectrum distribution of a source image, determining the convex gray level spectrum distribution, and then determining a left boundary value GLeft, a right boundary value Gright and a peak value PG of the gray level spectrum of the source image, and computing a gray level spectrum continuous bandwidth (BW) of the image; (2) establishing an image quality assessment function NR-IQAF; (3) performing the lower layer image mining and computing the value of the assessment function NR-IQAF; and (4) taking the image which is mined by the mining parameters, theta and delta corresponding to the maximum value of the image quality assessment function NR-IQAF in the step (3) B according to a lower layer image mining formula in the step (3) as the optimum quality image. The method can help the image with the convex gray level spectrum distribution of the source image to quickly obtain the optimum quality image in the objective sense in the process of the lower layer image mining, and the image taken under an image-taking condition with very weak light can obtain the optimum image of a clear objective natural scene by the method.

Description

technical field [0001] The invention belongs to the fields of computer digital image processing and optomechanical integration. Background technique [0002] The underlying image mining technology converts information that is not available to human vision into visually usable information, which can be used to mine image information captured under harsh conditions, such as car hit-and-run, and information hidden in monitoring images of financial institutions. However, in the mining process, it is time-consuming and labor-intensive because it is impossible to judge what mining parameters are used to mine the best image quality, and the so-called best-quality images obtained by mining depend on the subjective feelings of different individuals, and are not the best quality in the objective sense. image. Therefore, in practice, repeated mining has to be carried out so that the mined image information can achieve the best quality of human vision. At present, how to directly obta...

AI Technical Summary

Problems solved by technology

At present, at home and abroad, how to directly obtain the best quality images in mining has become an unsolved problem for human beings.

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