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Paper Details
Paper Title
Advanced Performance analysis of Prioritization Techniques Through Regression
Authors
  Ayaz Ahmed Shariff,  Dr.R.P.Singh
Abstract
Recent subjective studies showed that current tone mapping operators either produce disturbing temporal artifacts, or are limited in their local contrast reproduction capability. We address both of these issues and present an HDR video tone mapping operator that can greatly reduce the input dynamic range, while at the same time preserving scene details without causing significant visual artifacts. To achieve this, we revisit the commonly used spatial base-detail layer decomposition and extend it to the temporal domain. We achieve high quality spatiotemporal edge-aware filtering efficiently by using a mathematically justified iterative approach that approximates a global solution. Comparison with the state-ofthe- art, both qualitatively, and quantitatively through a controlled subjective experiment, clearly shows our method’s advantages over previous work. We present local tone mapping results on challenging high resolution scenes with complex motion and varying illumination. We also demonstrate our method’s capability of preserving scene details at user adjustable scales, and its advantages for low light video sequences with significant camera noise.
Keywords- Video Tone Mapping, Edge-Aware Video Filtering.
Publication Details
Unique Identification Number - IJEDR1704121Page Number(s) - 739-742Pubished in - Volume 5 | Issue 4 | November 2017DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Ayaz Ahmed Shariff,  Dr.R.P.Singh,   "Advanced Performance analysis of Prioritization Techniques Through Regression", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 4, pp.739-742, November 2017, Available at :http://www.ijedr.org/papers/IJEDR1704121.pdf
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