Image detection method and device

Abstract

The invention relates to the field of electronic information, and particularly discloses an image detection method and device. The method comprises the following steps: dividing an image to be detected into a plurality of macro blocks; calculating a pixel mean value of each macro block, comparing the pixel mean value of each macro block with a mean value threshold value, judging whether each macro block is an effective macro block or not according to a mean value comparison result, and obtaining a primary judgment result of each macro block; calculating the pixel variance of each macro block, comparing the pixel variance of each macro block with a variance threshold, judging whether each macro block is an effective macro block or not according to a variance comparison result, and obtaining a secondary judgment result of each macro block; and determining whether the to-be-detected image is an effective image or not according to the primary judgment result of each macro block and the secondary judgment result of each macro block. According to the method, the macro block is used as a minimum detection object, so that the problem of dead pixel aggregation can be effectively avoided.

Description

technical field [0001] Embodiments of the present invention relate to the field of electronic information, and in particular, to an image detection method and device. Background technique [0002] At present, in the process of rendering a video image, if the decoder is abnormal, the decoded image will be inconsistent with the original image. For example, suppose the original image is a black image, but if the decoder is abnormal, it will cause visible noise spots (such as white spots) on the black image. In addition, even if the decoder is normal, in the process of rendering the decoded image, the rendered image may be inconsistent with the original image due to abnormal rendering. [0003] In order to solve the above problems, it is necessary to check the image, and determine whether the image to be detected is consistent with the original image according to the inspection result. In the related art, the image to be detected needs to be scanned pixel by pixel, so as to de...

AI Technical Summary

Problems solved by technology

[0004] However, the inventor found in the process of realizing the present invention that the above-mentioned method has at least the following defects: on the one hand, the method of pixel-by-pixel scanning for the entire image needs to consume a lot of processing time, resulting in low processing efficiency

On the other hand, the method of calculating the proportion of dead pixels for the entire image cannot effectively avoid the problem of bad pixel aggregation, and leads to low recognition accuracy

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