Performance evaluation of image enhancement methods for objects detection and recognition

Tiefeng Cai; Feng Zhu; Yingming Hao; Xiaopeng Fan

doi:10.1117/12.2202949

8 October 2015 Performance evaluation of image enhancement methods for objects detection and recognition

Tiefeng Cai, Feng Zhu, Yingming Hao, Xiaopeng Fan

Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 96752Z (2015) https://doi.org/10.1117/12.2202949
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China

Abstract

Human eyes cannot notice low contrast objects in the image. Image contrast enhancement methods can make the unnoticed objects noticed, and human can detect and recognize the objects. In order to guide the design of enhancement methods, performance of enhancement methods for objects detection and recognition(ODR) should be valued. The existing performance evaluation methods evaluate image enhancement methods by calculating the increment of contrast or image information entropy. However, it is essentially an image information transmission process that human detect and recognize objects in the image, and image contrast enhancement can be viewed as a form of image coding. According to human visual properties, the transmission process of ODR information are modeled in this paper, and a performance evaluation method was proposed from the information theory of Shannon.

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Tiefeng Cai, Feng Zhu, Yingming Hao, and Xiaopeng Fan "Performance evaluation of image enhancement methods for objects detection and recognition", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96752Z (8 October 2015); https://doi.org/10.1117/12.2202949

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KEYWORDS

Image enhancement

Image processing

Image compression

Image contrast enhancement

Information theory

Data processing

Image transmission

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