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Deep learning-based adventitious position picture watermark repairing method

A technology of deep learning and restoration methods, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of low work efficiency, high cost, inability to accurately locate the image watermark position, etc., to avoid uneven quality, standardized operation, cost saving effect

Inactive Publication Date: 2018-06-01
北京诸葛找房信息技术有限公司
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

[0002] Most of the existing technologies use image repair tools to manually process images or use algorithms to process watermarks of specific shapes at specific locations, which cannot accurately locate the location of the watermark in the image and automatically restore the watermark
[0003] The existing method has extremely low work efficiency and high cost, and cannot adapt to the processing of massive data, and it is difficult to face the challenges of the big data era

Method used

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Embodiment Construction

[0022] The present invention will be further described below in conjunction with specific embodiments, and the advantages and characteristics of the present invention will become clearer along with the description. However, these embodiments are only exemplary and do not constitute any limitation to the scope of the present invention. Those skilled in the art should understand that the details and forms of the technical solutions of the present invention can be modified or replaced without departing from the spirit and scope of the present invention, but these modifications and replacements all fall within the protection scope of the present invention.

[0023] The present invention relates to a kind of 1. A watermark restoration method of an indefinite position image based on deep learning, comprising the following steps:

[0024] (1) Collection and preprocessing of training data;

[0025] (2) Training the watermark segmentation model;

[0026] (3) Fill the watermark area. ...

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Abstract

The invention relates to a deep learning-based adventitious position picture watermark repairing method. The method is characterized by comprising the following steps of (1) collecting and preprocessing training data; (2) training a watermark segmentation model; (3) filling a watermark region. According to the invention, the manpower is replaced by a machine. Therefore, the cost is saved and the manpower is liberated. The operation is more standardized. The condition that the good manpower and the bad manpower are intermingled can be avoided. Compared with a simple watermark repairing technology, a watermark position can be automatically found by adopting the above method.

Description

technical field [0001] The invention relates to a watermark restoration method for pictures with indeterminate positions based on deep learning. Background technique [0002] Most of the existing technologies use image repair tools to manually process images or use algorithms to process specific-shaped watermarks at specific locations, which cannot accurately locate the location of the watermark in the image and automatically restore the watermark. [0003] The work efficiency of the existing methods is extremely low, the cost is extremely high, and it cannot adapt to the processing of massive data, and it is difficult to face the challenges of the big data era. Contents of the invention [0004] In order to overcome the defects of the prior art, the present invention provides a watermark restoration method based on deep learning for indeterminate position pictures. The technical solution of the present invention is: [0005] A method for repairing image watermarks in ind...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T11/40G06T1/00
CPCG06T1/0021G06T11/40G06T2207/20084G06T2207/20081G06T5/77
Inventor 白峻峰张文战刘子曜苏伟杰
Owner 北京诸葛找房信息技术有限公司
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