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Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Subjective Assessment ♦ Super Resolution Image Resolution ♦ Ideal Condition ♦ Non-linear Signal Processing ♦ Super Resolution Image Reconstruction ♦ Tv Set ♦ Video Signal ♦ Quarter Precision Motion Vector ♦ Super Resolution ♦ Image Quality ♦ Abstract Super Resolution ♦ Srr Video ♦ Sr Function ♦ Real Time
Abstract Abstract—Super resolution (SR) technologies are now being applied to video to improve resolution. Some TV sets are now equipped with SR functions. However, it is not known if super resolution image reconstruction (SRR) for TV really works or not. Super resolution with non-linear signal processing (SRNL) has recently been proposed. SRR and SRNL are the only methods for processing video signals in real time. The results from subjective assessments of SSR and SRNL are described in this paper. SRR video was produced in simulations with quarter precision motion vectors and 100 iterations. These are ideal conditions for SRR. We found that the image quality of SRNL is better than that of SRR even though SRR was processed under ideal conditions.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study