Image watermark detection method and device and computing equipment

Abstract

The invention discloses an image watermark detection method, which is suitable for being executed in computing equipment, and comprises the following steps of: generating a standard image of a targetwatermark, and intercepting images of specific parts in each image to be detected in batches according to the width and height values of the standard image to obtain a plurality of target images; calculating a color index of the target image based on the standard image, wherein the color index comprises at least one of a color standard deviation, a color average value, a file relative size after the target image is compressed and after the standard image is compressed, and a pixel matrix dot product of the target image and the standard image; and according to the priority sequence of the multiple combination modes of the color indexes, sequentially determining the target images without the target watermarks, and determining the remaining target images as the images containing the target watermarks. The invention further discloses a computing device for executing the method.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image watermark detection method, device and computing equipment. Background technique [0002] Watermarking is a commonly used digital copyright protection technology for multimedia resources such as digital images and videos. It is a way to superimpose a small picture or other digital signals with little visual impact on the original digital media. In practical applications, it is necessary to detect whether a large amount of media data is affected by specific Watermark protection. A very important indicator of watermark detection is computing performance, that is, whether batch processing can be performed quickly in real time. Different from traditional pattern recognition under the condition of weak interference such as OCR and Hu moments, watermark recognition is usually carried out under the background image of strong interference. [0003] The current watermark recogni...

AI Technical Summary

Problems solved by technology

[0004] The neural network based on deep learning has also achieved good results in watermark recognition, but this method requires manual indexing of a large number of library materials, the workload of initialization and calculation are very large, and special hardware must be used to achieve relatively large Complete the identification work in the shortest time

If a higher accuracy rate is required, the parameters need to be fine-tuned, but the parameter adjustment requires accuracy statistics, and the manual workload is large, resulting in high cost of use, difficult to customize, and will also affect the interpretation of the recognition results.

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