Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/34960
Title: Enhancing Photograph Visual Quality Using Texture and Contrast Data From Near Infra-red Images
Authors: SIM TERENCE MONG CHENG 
ZHANG XIAOPENG
Issue Date: 18-Nov-2010
Source: SIM TERENCE MONG CHENG,ZHANG XIAOPENG (2010-11-18). Enhancing Photograph Visual Quality Using Texture and Contrast Data From Near Infra-red Images. ScholarBank@NUS Repository.
Abstract: Near infra-red images of natural scenes usually have better contrast and contain rich texture details that may not be perceived in visible light photographs. The contrast and rich texture details form a NIR image corresponding to a visible light image are useful for enhancing the visual quality of the visible light image. To enhance the visual quality of a visible light image using its corresponding near infra-red image, a computer-implemented method computes a weight region mask from the visible light image, transfers contrast data and texture data from the near infra-red image to the visible light image guided by the weighted region mask. The contrast data is computed from the low frequency subbands of the visible light image and corresponding infra-red image after a wavelet transform by matching the histogram of gradient magnitude. The texture data is computed from the high frequency subbands of both images after wavelet transform.
URI: http://scholarbank.nus.edu.sg/handle/10635/34960
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