Proceedings of the National Academy of Sciences of the United States of America

About the PNAS Member Editor
Name Heeger, David J.
Location New York University
Primary Field Psychological and Cognitive Sciences
Secondary Field Systems Neuroscience
 Election Citation
Heeger has made fundamental, interrelated contributions in three areas of vision science: image processing, visual perception, and visual neuroscience. He uses advances in understanding human vision to develop new approaches to image processing and he uses the applied mathematics of image processing to develop and test theories of human vision.
 Research Interests
Heeger's research spans an interdisciplinary cross-section of engineering, psychology, and neuroscience. His contributions to computational neuroscience include theories for how the brain can sense optic flow and egomotion, and a theory of the neural processing called the normalization model. His empirical research has used a combination of psychophysics (perceptual psychology) and neuroimaging (functional magnetic resonance imaging) to contribute to our understanding of the topographic organization of visual cortex (retinotopy), visual awareness, visual pattern detection/discrimination, visual motion perception, stereopsis (depth perception), attention, working memory, the control of eye and hand movements, neural processing of complex audio-visual and emotional experiences (movies, music, narrative), abnormal visual processing in dyslexia, and neurophysiological characteristics of autism. In the fields of image processing, computer vision, and computer graphics, Heeger worked on motion estimation and image registration, wavelet image representations, anisotropic diffusion (edge-preserving noise reduction), image fidelity metrics (for evaluating image data compression algorithms), and texture analysis/synthesis

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