Adaptive F-SCA Method for Video Super Resolution

Padmareddy, A M; Venkatesha, M; Rani, Udaya

doi:10.1109/incet54531.2022.9824350

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E Fractional-sine Cosine Algorithm (F-sca)1

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2023

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“…First, videos are transformed into frames, and then the noise is removed using structural texture decomposition and filtering. Deblurring is done using kernel estimate based on Adaptive F-SCA once the noise has been removed and converted into fine quality video [29].…”

Section: E Fractional-sine Cosine Algorithm (F-sca)mentioning

confidence: 99%

Review on Video Super Resolution: Methods and Metrics

Reshma¹,

Thomas²

2023

2023 International Conference on Control, Communication and Computing (ICCC)

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Video Super Resolution (VSR) is a wide area in image processing, where numerous research works are going on. Super Resolution (SR) means the upstaging of Low Resolution (LR) frames to High Resolution (HR) frames with minimal loss in image quality. The goal of this paper is to give the comprehensive review of various VSR methods like Convolutional Neural Network (CNN), Generative Adversarial Network (GAN), Gated Recurrent Unit (GRU), Spatial Temporal Transformer (STT), Fractional-Sine Cosine Algorithm (F-SCA), Recurrent Back-Projection Network (RBPN), Temporally-Deformable Alignment Network (TDAN). Finally, the readers will get more ideas about VSR based methods and metrics.

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Section: E Fractional-sine Cosine Algorithm (F-sca)mentioning

confidence: 99%