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    • Architecture of the superresolution convolutional neural network...

    1. https://www.researchgate.net
    2. figure
    3. Architecture-of-th...

    2024/4/15 -In this study, the super-resolution convolutional neural network (SRCNN) scheme, which is the emerging deep-learning-based super-resolution method for ...


    FFmpeg Filters Documentation

    1. https://ffmpeg.org
    2. ffmpeg-filters

    4時間前 -1 Description. This document describes filters, sources, and sinks provided by the libavfilter library. 2 Filtering Introduction.


    Given a low-resolution image Y, the first convolutional layer of the...

    1. https://www.researchgate.net
    2. figure
    3. Given-a-low-resol...

    2024/4/28 -The SRCNN [22] was the first to introduce the application of CNN in image SR. Although the technique was found to be faster and more robust, the architecture ...


    Enhancing Video Quality with Super-Resolution

    1. https://streaminglearningcenter.com
    2. Articles
    1. https://streaminglearningcenter.com
    2. Articles

    2024/4/23 -SRCNN (Super-Resolution Convolutional Neural Network): This filter implements the SRCNN ... The SRCNN filter can upscale video by factors of 2, 3, or 4. ESPCN ...


    Uncertainty-driven mixture convolution and transformer network for remote ...

    1. https://www.ncbi.nlm.nih.gov
    2. articles
    3. PMC11043356

    2024/4/24 -introduced the seminal SISR approach based on very simple but effective CNNs known as SRCNN. Despite comprising only three convolutional layers, SRCNN ...


    The Problem Of Image Super-Resolution, Denoising And ...

    PDF
    1. https://arxiv.org
    2. pdf
    PDF
    1. https://arxiv.org
    2. pdf

    2024/4/16 -Abstract— In this article, we address the challenges of image super-resolution and noise reduction, which are crucial for enhancing the quality.


    Understanding Image Upscaling Techniques - Magnific AI

    1. https://magnificai.org
    2. understanding-image-upscaling-te...
    1. https://magnificai.org
    2. understanding-image-upscaling-te...

    2024/4/11 -SRCNN maps low-resolution images to high-resolution output directly. It's effective for real-time upscaling tasks. You can learn more about SRCNN here.


    A flow-based multi-scale learning network for single image stochastic ...

    1. https://www.sciencedirect.com
    2. science
    3. article
    4. abs
    5. pii

    2024/4/25 -aimed at accelerating the current SRCNN model [10] and proposed a faster hourglass-shape CNN structure(FSRCNN [11]). Methodology. In this paper, we propose a ...


    Single Image Super-Resolution Based on Global-Local Information Synergy

    1. https://arxiv.org
    2. html
    1. https://arxiv.org
    2. html

    2024/5/3 -Dong et al. [21, 22] initialized a CNN-based super-resolution reconstruction technique (Super-Resolution Convolutional Neural Network, SRCNN). Based on ...


    Multi-attention fusion transformer for single-image super-resolution

    1. https://www.nature.com
    2. scientific reports
    3. articles

    6日前 -The initial CNN-based method introduced in this domain was SRCNN, which utilized a three-layer convolutional network to achieve image reconstruction. Despite ...