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A Comprehensive Survey on Image Contrast Enhancement Techniques in Spatial Domain

机译：空间域图像对比增强技术的全面调查

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摘要

Image enhancement is essential for any image processing applications. The objective of image enhancement is to reveal the hidden information which is not available for the purview of the observer due to the presence of low and poor contrast during image acquisition. The quality of the image can be raised up by increasing the contrast. Contrast enhancement has found a prominent application in various fields such as medical, satellite imaging systems owing to its better visibility of the features. In this paper, a comprehensive survey on different contrast enhancement techniques exclusively on spatial domain is presented and compared. The survey illustrates that brightness preservation, entropy preservation, structural information loss etc., are to be catered during contrast enhancement. To validate the algorithm in terms of both qualitative and quantitative means, the researchers have used various performance measures. Among all the performance measures, entropy finds the benchmark for evaluation of the algorithms. Different databases are used by researchers to analyse the performance of their algorithms, where as USC-SIPI database finds prominence in usage.
机译：图像增强对于任何图像处理应用是必不可少的。图像增强的目的是揭示由于在图像采集期间存在低差和差的对比度而无法获得观察者的限制的隐藏信息。通过增加对比度可以提高图像的质量。对比度增强在诸如医疗，卫星成像系统的各种领域中发现了突出的应用，由于其特征的更好的可见性。本文介绍了并比较了对空间域的不同对比增强技术的全面调查。该调查说明了亮度保存，熵保护，结构信息丢失等，应在对比增强期间迎合。为了在定性和定量手段方面验证算法，研究人员使用了各种性能措施。在所有的性能措施中，熵发现了评估算法的基准。研究人员使用不同的数据库来分析其算法的性能，随着USC-SIPI数据库发现使用的突出。

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