Kaushik Mitra

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About

Kaushik Mitra is a computer vision researcher whose work sits at the intersection of computational imaging, image restoration, and optical system design. His research addresses some of the most challenging problems in modern imaging — particularly the recovery of high-quality visual information under severely degraded conditions. Mitra's most recognized contributions focus on low-light image restoration. His work "Towards Fast and Light-Weight Restoration of Dark Images" (2020), which has garnered 25 combined citations, tackles the critical challenge of capturing usable imagery in near-zero lux environments — conditions that push conventional cameras to their limits. Rather than simply building upon existing deep learning pipelines, Mitra's approach prioritizes computational efficiency alongside image quality, making his methods practically deployable on resource-constrained devices. More recently, his 2023 paper on ultra-thin lensless camera design demonstrates a broadening of his research vision, exploring how co-designed optics and algorithms can replace traditional lenses with thin optical masks. With 4 citations already accrued shortly after publication, this work addresses the growing demand from robotics and AR/VR communities for lightweight, high-speed imaging solutions. Collectively, Mitra's research represents a thoughtful effort to make advanced imaging both physically compact and computationally accessible.