An analysis of vision based techniques for quality assessment and enhancement of camera captured document images

Pooja Sharma, Shanu Sharma
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引用次数: 5

Abstract

Now a days with the advancement of technology, there has been a tremendous rise in the volume of captured and distributed content. Image acquisition can be done with the help of scanners, cameras, smart phones, tablets etc. Document retrieval and recognition systems require high quality document images but most of the time, the images acquired suffer from various degradations like blur, uneven illumination, low resolution etc. To reduce the processing time and get good results, we require methods to evaluate and improve the quality of such images. This paper reviews the quality assessment methods and enhancement techniques for document images as well as represents a survey of the work that has been performed in the field of document image quality assessment and enhancement.
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基于视觉的相机捕获文档图像质量评估和增强技术分析
如今,随着科技的进步,捕获和分发的内容数量有了巨大的增长。图像采集可以在扫描仪、相机、智能手机、平板电脑等的帮助下完成。文档检索和识别系统需要高质量的文档图像,但大多数情况下,所获得的图像存在各种退化问题,如模糊、光照不均匀、分辨率低等。为了减少处理时间并获得良好的效果,我们需要评估和提高图像质量的方法。本文综述了文献图像质量评价方法和增强技术,并对文献图像质量评价和增强领域的工作进行了综述。
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