This paper reviews the first NTIRE challenge on video super-resolution (restoration of rich details in lowresolution video frames) with focus on proposed solutions and results. A new REalistic and Diverse Scenes dataset (REDS) was employed. The challenge was divided into 2 tracks. Track 1 employed standard bicubic downscaling setup while Track 2 had realistic dynamic motion blurs. Each competition had 124 and 104 registered participants. There were total 14 teams in the final testing phase. They gauge the state-of-the-art in video super-resolution.

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A new adaptive single pixel based lossless intra coding technique employs pixel based DPCM(Differential Pulse Code Modulation) is presented as an enhancement of H.264/MPEG-4 AVC(Advanced Video Coding) standard.. In this paper, we have addressed a technique to trace a single significant pixel in the source block adaptively based on perceptual considerations, applied pixel wise DPCM for spatial prediction for residual transform coding. However, the block style of H.264/AVC is not troubled for the transform encoding and decoding process. From the experiments, it follows that the new adaptive single pixel based lossless intra coding technique offers a better image quality and good compression ratio as compared with the current standard. If the visual significance of source block is considered for spatial prediction, it offers better results. In this paper, we highlight the exclusion of excess visual data present in both Luma and Chromo components of a video frame for lossless Intra coding of H.264/AVC