Please use this identifier to cite or link to this item: https://idr.l1.nitk.ac.in/jspui/handle/123456789/12970
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dc.contributor.authorSowmya, Kamath S.-
dc.contributor.authorAparna, P.-
dc.contributor.authorAntony, A.-
dc.date.accessioned2020-03-31T08:42:34Z-
dc.date.available2020-03-31T08:42:34Z-
dc.date.issued2020-
dc.identifier.citationMultimedia Tools and Applications, 2020, Vol., , pp.-en_US
dc.identifier.urihttps://idr.nitk.ac.in/jspui/handle/123456789/12970-
dc.description.abstractLossless mode of High-Efficiency Video Coding (HEVC), the state-of-the-art video coding standard, can be used for distortion-free reconstruction of the input data for a wide variety of applications. HEVC relies on the usage of efficient intra prediction strategies to achieve superior compression than its predecessor H.264. A large amount of spatial redundancy exists in almost all video sequences due to coherence, smoothness and the inherent correlation within the neighboring pixels. In this paper, a context-based intra prediction scheme is proposed to minimize this local redundancy by identifying the edges and textures to appropriately modify the prediction strategy at the pixel level, without further increase in the computational complexity. The variability in the sum of absolute differences and local pixel intensity values are chosen to derive the context of the nearby region around the target pixel in the planar and angular intra prediction modes respectively. The experimental results validate the superiority of the proposed method over the HEVC anchor and other state-of-the-art techniques in the literature. 2020, Springer Science+Business Media, LLC, part of Springer Nature.en_US
dc.titlePerformance enhancement of HEVC lossless mode using context-based angular and planar intra predictionsen_US
dc.typeArticleen_US
Appears in Collections:1. Journal Articles

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