Image enhancement, image quality, and noise

Zia-ur Rahman; Daniel J. Jobson; Glenn A. Woodell; Glenn D. Hines

doi:10.1117/12.619460

15 September 2005 Image enhancement, image quality, and noise

Zia-ur Rahman, Daniel J. Jobson, Glenn A. Woodell, Glenn D. Hines

Proceedings Volume 5907, Photonic Devices and Algorithms for Computing VII; 59070N (2005) https://doi.org/10.1117/12.619460
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

Abstract

The Multiscale Retinex With Color Restoration (MSRCR) is a non-linear image enhancement algorithm that provides simultaneous dynamic range compression, color constancy and rendition. The overall impact is to brighten up areas of poor contrast/lightness but not at the expense of saturating areas of good contrast/brightness. The downside is that with the poor signal-to-noise ratio that most image acquisition devices have in dark regions, noise can also be greatly enhanced thus affecting overall image quality. In this paper, we will discuss the impact of the MSRCR on the overall quality of an enhanced image as a function of the strength of shadows in an image, and as a function of the root-mean-square (RMS) signal-to-noise (SNR) ratio of the image.

Citation Download Citation

Zia-ur Rahman, Daniel J. Jobson, Glenn A. Woodell, and Glenn D. Hines "Image enhancement, image quality, and noise", Proc. SPIE 5907, Photonic Devices and Algorithms for Computing VII, 59070N (15 September 2005); https://doi.org/10.1117/12.619460

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