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2013 IEEE International Conference on Imaging Systems and Techniques (IST)
This paper presents a new comparison framework, with the view to help researchers in selecting the most appropriate illumination compensation algorithm to serve as a preprocessing step in computer vision applications. The main objective of this framework is to reveal the positive and negative characteristics of the algorithms, rather than providing a single metric to rank their overall performance. The comparison tests, that comprise the proposed framework, aim to quantitatively evaluate thedoi:10.1109/ist.2013.6729703 fatcat:fl3fok7lyjfadekl6daxmhfdzu