The Image and Signal Processing (ISP) Group at the Universitat de València (Spain) develops data analysis techniques and vision algorithms. We focus on methods able to extract knowledge from empirical data drawn by sensory (mostly imaging) physical systems. These measurements depend on the properties of the scenes and the physics of the acquisition process. Our approach to signal, image, and vision processing combines machine learning theory with the understanding of the underlying physics and biological vision.
Applications mainly focus on computational visual neuroscience, image processing, remote sensing data analysis, and geosciences. The problems posed in these disciplines require similar mathematical tools, where model inversion, uncertainty estimation, and causal inference from empirical data play a central role.
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