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Alan C. Bovik’s indexed work centers on perceptual image quality assessment, with a series of highly cited contributions that have shaped the field. He introduced a universal image quality index in 2002, a foundational metric for comparing images, and later developed a no-reference spatial-domain quality analyzer (BRISQUE) in 2012 that evaluates images without a pristine reference. His 2012 work on a completely blind image quality analyzer (BIQI) extended this paradigm, while his 2006 study on image information and visual quality (IFC/VIF) provided a theoretical framework linking natural scene statistics to human perception. These last-author papers, each accumulating thousands of citations, collectively established Bovik as a central figure in both full-reference and no-reference quality assessment. Beyond his lead-author contributions, Bovik was a co-author on the landmark 2004 paper Image quality assessment: from error visibility to structural similarity (SSIM), which has garnered over 56,000 citations and remains a standard in the field. He also contributed to a blind DCT-domain quality assessment method (BLIINDS-II) in 2012. His early first-author work on multichannel texture analysis using localized spatial filters (1990) introduced Gabor-filter-based approaches for texture discrimination. Bovik also authored the widely used *Handbook of Image and Video Processing* (2005). Across these works, his research arc demonstrates a sustained effort to translate models of human visual perception into practical, computationally efficient algorithms for image fidelity and quality evaluation.
Zhou Wang, Alan Conrad Bovik, Hamid Rahim Sheikh, Eero P Simoncelli
Anish Mittal, Anush Krishna Moorthy, Alan Conrad Bovik
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Hamid Rahim Sheikh, Alan C Bovik
Hamid Rahim Sheikh, Muhammad Farooq Sabir, Alan Conrad Bovik
Anush Krishna Moorthy, Alan Conrad Bovik