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Title: Image quality assessment benchmarking
Authors: Raju, Reenu
Keywords: DRNTU::Engineering
Issue Date: 2013
Abstract: Since the human visual system (HVS) is the ultimate receiver and appreciator of most images that we handled, appropriate perceptual image quality evaluation models have been developed and applied to various image-related tasks during the past decade. In this project, we study some of the existing No Reference Image Quality assessment (NR-IQA) models and the performance of the respective techniques is analyzed and compared to some other existing models. Benchmarking the state-of-the-art technology is then made in the related area in order to provide the insight for effective deployment.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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