2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2022 · 23 citations · 43 references
EngineeringSparse ImagingSuper-resolution ImagingImage AnalysisSingle-image Super-resolutionComputational ImagingVideo Super-resolutionVideo RestorationMachine VisionNtire 2022Video GenerationComputer ScienceSuper-resolutionBurst Super-resolutionSynchrotron RadiationComputer VisionExtended RealityBurst Super-resolution TaskVideo Hallucination
Burst super-resolution has received increased attention in recent years due to its applications in mobile photography. By merging information from multiple shifted images of a scene, burst super-resolution aims to recover details which otherwise cannot be obtained using a simple input image. This paper reviews the NTIRE 2022 challenge on burst super-resolution. In the challenge, the participants were tasked with generating a clean RGB image with 4× higher resolution, given a RAW noisy burst as input. That is, the methods need to perform joint denoising, demosaicking, and super-resolution. The challenge consisted of 2 tracks. Track 1 employed synthetic data, where pixel-accurate high-resolution ground truths are available. Track 2 on the other hand used real-world bursts captured from a handheld camera, along with approximately aligned reference images captured using a DSLR. 14 teams participated in the final testing phase. The top performing methods establish a new state-of-the-art on the burst super-resolution task.
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Deep Residual Learning for Image Recognition
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Image Classification, Deep Neural Networks, Machine Vision +14
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