Nicheloom

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Image-Enhancement

This project focuses on image super-resolution using ESRGAN to convert low-resolution images into clearer, high-resolution images. The Generator creates enhanced images, while the Discriminator checks their realism. Python is used for implementation and MATLAB for analysis. PSNR and SSIM are used to evaluate image quality and similarity.

Details

External ID
1362162004
Source
GITHUB
Company
—
Product
Image-Enhancement
Website domain
github.com
Launched
Sept. 9, 2026
Cohort
—
Upvotes
8
Upvotes percentile
0.14514476044068664
Tags
—
Fetched at
Sept. 13, 2026, 5:48 a.m.
Updated at
Sept. 13, 2026, 5:48 a.m.

Enrichment

Theme
multimodal generative ai and developer tools
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
esrgan image super-resolution model for upscaling low-resolution images
Manually corrected
False

Could you build this?

Yes This is an academic or hobbyist project applying ESRGAN using PyTorch/Python with MATLAB evaluation scripts. Pre-trained ESRGAN architectures and standard PSNR/SSIM evaluation metrics can be assembled and run using AI coding prompts.

Competitors

Other products that read as similar to this one — 56 launches clear the similarity bar, closest 8 shown.

Attention rank: #50 of 57 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 312 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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