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UG^2: a Video Benchmark for Assessing the Impact of Image Restoration and Enhancement on Automatic Visual Recognition

9 Oct 2017 • Rosaura G. Vidal • Sreya Banerjee • Klemen Grm • Vitomir Struc • Walter J. Scheirer

Advances in image restoration and enhancement techniques have led to discussion about how such algorithmscan be applied as a pre-processing step to improve automatic visual recognition. In principle, techniques like deblurring and super-resolution should yield improvements by de-emphasizing noise and increasing signal in an input image... (read more)

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