NDLI: An energy efficient multi-scale retinex algorithm based on the ratio of saturated regions

Content Provider	IEEE Xplore Digital Library
Author	Jang, Chan Young Kim, Young Hwan
Copyright Year	2015
Description	Author affiliation: Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, Gyeongsangbuk-do, Korea (Jang, Chan Young; Kim, Young Hwan)
Abstract	This paper proposes an image enhancement technique that adjusts the luminance of an input image depending on the image characteristics. First, the proposed method classifies the input image into three types based on the ratio of saturated region. After the classification, the enhancement process is adaptively performed depending on the classified image type to improve the image quality and reduce the power consumption. In the enhancement process, the proposed method reduces computational complexity for the low power consumption when calculating the illumination. Thus, the proposed method has an advantage of effectively reducing the power consumption as much as possible, while improving the output image quality. The experimental results showed that the proposed method successfully reduced the power consumption by up to 90.4% while increasing the enhancement performance measure by up to 73% and obtaining the highest subjective scores compared to the benchmark methods.
Starting Page	295
Ending Page	296
File Size	260310
Page Count	2
File Format	PDF
e-ISBN	9781467393089
DOI	10.1109/ISOCC.2015.7401704
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-02
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image quality Power demand Image edge detection Retinex Lighting Imaging Contrast enhancement Benchmark testing Multi-scale retinex Computational complexity
Content Type	Text
Resource Type	Article

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