Research Fields - Systems
Signal, image, and video processing are fields of study and technology focused on manipulating, analyzing, and transforming signals, images, and video data. Signal processing involves the analysis and modification of one-dimensional signals such as sound or electrical signals, to enhance quality or extract meaningful information. Image processing deals with two-dimensional visual data, applying various techniques to enhance, restore and compress images for applications like medical imaging, facial recognition, and object detection. Video processing extends these methods to sequences of images, enabling motion analysis, video compression, and real-time video streaming. These fields rely heavily on mathematical algorithms and machine learning. Applications span diverse areas, including telecommunications, multimedia, security, entertainment, and healthcare, making them crucial in modern technology. Advances in these areas continue to drive innovations in artificial intelligence, automation, and user interaction.
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Computer vision, image processing, video analytics, medical imaging, depth imaging, global optimization, law & technology |
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Computer vision, computational photography, tracking, image & video editing |
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Signal and image processing: theory and applications, deep learning, sparse representations, compressed sensing, low dimensional signal modeling, low-light imaging, task-driven sensing, inverse problems |
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Developing algorithms for spatial and temporal line and texture filling- in, due to inspiration from mechanisms of the visual system with applications to real and medical still and video images. textures enhancement, shape from motion, model for SLAM problem in visual system and its applications on developing algorithm for video images (ego and real motion). Algorithms for compressing HDR images. Developing equations for ON and OFF signals, separately.
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Computer vision, computer graphics, deep learning, machine learning
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