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    • FFmpeg Filters Documentation

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

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

    Image Processing - Shared Edge Detection | Fun Project #opencvの画像

    Image Processing - Shared Edge Detection | Fun Project #opencv

    1. https://www.youtube.com
    2. watch

    Fireship New 614K views · 19:52. Go to channel · Implementing SRCNN in Python using Keras | Image Super Resolution | Tutorial. AdiTOSH•2.8K views · 8:40. Go to ...

    YouTube-AdiTOSH


    arXiv:2405.05001v1 [cs.CV] 8 May 2024

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

    4日前 -SRCNN [36] solved the super-resolution task for the first time using CNNs. Subse- quently, in order to enhance the network learning ability,. VDSR [15] ...


    An Advanced Features Extraction Module for Remote Sensing Image ...

    1. https://www.researchgate.net
    2. publication
    3. download

    2日前 -... SRCNN, aimed to. learn a mapping function directly from low-resolution to high-. resolution images. SRCNN, demonstrating the potential of. deeper networks in ...


    Underwater Image Super-Resolution Based on Symmetric Degradation ...

    1. https://www.mdpi.com
    2. ...
    1. https://www.mdpi.com
    2. ...

    4日前 -Since SRCNN first applied deep convolution neural networks to the image SR task and obtains superior performance over conventional SR methods, a variety of ...


    Frequency-Assisted Mamba for Remote Sensing Image Super ...

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

    4日前 -CNN-based. Drawing inspiration from SRCNN [29], early efforts usually elaborate CNNs with advanced modules, such as residual [30] and dense structure ...


    ACM

    1. https://ijisae.org
    2. IJISAE
    3. get
    4. acm-sig-proceedings
    1. https://ijisae.org
    2. IJISAE
    3. get
    4. acm-sig-proceedings

    4日前 -Image Super-Resolution with Deep Learning: Enhancing Visual Quality using SRCNN. International Journal of Intelligent Systems and Applications in ...


    Computational label-free microscope through a custom-built high ...

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

    2日前 -THz time-domain spectral imaging enhancement based on an MLP-SRCNN composite network. Optics and Lasers in Engineering, Volume 176, 2024, Article 108101.


    What are the primary research methods used to study projected ...

    1. https://typeset.io
    2. questions
    1. https://typeset.io
    2. questions

    5日前 -Statistical downscaling methods are primarily used to study projected climate changes in specific countries or regions. These methods help bridge the gap ...


    Enhanced Solar Coronal Imaging: A GAN Approach with Fused Attention ...

    1. https://www.mdpi.com
    2. ...
    1. https://www.mdpi.com
    2. ...

    3日前 -This research proposes a new super-resolution method named SAFCSRGAN, which includes a spatial attention module that incorporates channel information, allowing ...