Our technology utilizes super-resolution reconstruction (SR) that performs a fusion of low quality images into a higher quality result with improved optical resolution. This task encompasses scaling-up of the visual content by introducing true (optical) resolution enhancement.
Figure 1: Several low-resolution images of the same scene. Note they are slightly different from each other.
Figure 2: One HR image (with more pixels, better optical resolution, and less noise), obtained by fusing the images in Figure 1.
BetterView technology is based on a recently developed and patent-pending novel family of SR algorithms, proposed by a world-leader in this field, Prof. Michael Elad (Technion – Israel Institute of Technology). Elad and his collaborator, Dr. Matan Protter devised the first method that overcomes the requirement for very accurate and explicit motion estimation in previous SR technologies. Exact motion estimation has been a crucial stage in every earlier SR algorithm, considerably limiting the scenes that can be handled. The new family of SR techniques avoids the exact motion estimation and replaces it by a probabilistic estimate. This enables handling successfully general content scenes containing extremely complex motion patterns. The results are impressive, with no visual artifacts, and the process is completely robust.
Based on the above core technology, BetterView developed the first cutting-edge industrial-grade robust system that perform SD to True HD resolution conversion. BetterView's solution strengthens the above-mentioned core technology by handling various video artifacts, interlaced content, synchronization issues, run-time efficiency, and more.
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