jiny2001/dcscn-super-resolution
A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
This project helps anyone working with digital images to enhance their quality. It takes a low-resolution image and upscales it, producing a significantly sharper, higher-resolution version. Photographers, graphic designers, or anyone needing clearer images from lower-quality sources would find this beneficial.
714 stars. No commits in the last 6 months.
Use this if you need to transform blurry, pixelated, or low-resolution images into crisp, detailed, and higher-resolution visuals.
Not ideal if you need to create entirely new image content or dramatically alter existing image features beyond simple upscaling and sharpening.
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714
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219
Language
Python
License
MIT
Category
Last pushed
Apr 06, 2023
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