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Document image noise reduction method based on foreground masking

A document image and foreground technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as inefficiency, and achieve the effect of improving quality

Active Publication Date: 2020-02-18
BEIJING THUNISOFT INFORMATION TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

For diversified text images, traditional noise reduction methods such as pixel statistics and filtering often fail to work

Method used

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  • Document image noise reduction method based on foreground masking
  • Document image noise reduction method based on foreground masking
  • Document image noise reduction method based on foreground masking

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Embodiment Construction

[0035] Embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings.

[0036] Embodiments of the present disclosure are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present disclosure from the content disclosed in this specification. Apparently, the described embodiments are only some of the embodiments of the present disclosure, not all of them. The present disclosure can also be implemented or applied through different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present disclosure. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other. Based on the embodiments in the present disclosure, al...

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Abstract

The invention discloses a document image noise reduction method based on foreground masking, which belongs to the technical field of document image data processing, and comprises the following steps:counting the maximum frequency through random sampling to determine an image background color pixel value; comparing the HSV space pixel values to obtain a first foreground mask, performing adaptive local binarization to obtain a second foreground mask for the condition of non-uniform picture brightness, and performing and operation on the first foreground mask and the second foreground mask to obtain a final foreground mask; then, obtaining a pixel plate by utilizing a kmeans clustering method, obtaining a representative color, and setting a background as a background pixel obtained by previous calculation. According to the method, the background color of the document image can be effectively extracted, and the foreground mask of the document image can be obtained, especially for the document image with the foreground mainly comprising texts and image-text tables. By utilizing the foreground mask method, useless interference noise on the background can be effectively filtered and removed without causing great loss to the foreground main body, and the document image quality can be improved.

Description

technical field [0001] The invention relates to the field of document image data processing, in particular to a document image noise reduction method based on a foreground mask. Background technique [0002] The noise in the document image will affect the reading of the document and the subsequent document image recognition such as OCR to varying degrees. It is necessary to reduce the noise of the document image. [0003] The existing technology proposes a noise reduction method based on block statistics for black and white document images. According to the size of the document image and the number of pixels per inch, the image is divided into N×N blocks, and N is generally half the height of a Chinese character. After subdividing, calculate the proportion of black dots for each subdivision to determine whether it is a text area. If it is less than 80%, calculate the pixel ratio of the surrounding blocks to determine whether it is a noise point for processing. This technolo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/194G06T7/90G06K9/62
CPCG06T7/194G06T7/90G06T2207/10004G06T2207/30176G06F18/23213G06T5/70
Inventor 李锴沈来信赵岳孙明东
Owner BEIJING THUNISOFT INFORMATION TECH
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