# ibm/max-image-resolution-enhancer

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1,040 stars · 160 forks · Python · Apache-2.0

## Links

- GitHub: https://github.com/IBM/MAX-Image-Resolution-Enhancer
- Homepage: https://developer.ibm.com/exchanges/models/all/max-image-resolution-enhancer/
- awesome-repositories: https://awesome-repositories.com/repository/ibm-max-image-resolution-enhancer.md

## Topics

`ai` `codait` `computer-vision` `docker-image` `ibm` `machine-learning` `machine-learning-models` `neural-network` `tensorflow`

## Description

This project is a containerized model server designed to perform automated image enhancement and resolution scaling. It utilizes deep learning models to increase the resolution of input images by a factor of four, synthesizing realistic visual details to improve overall clarity and digital asset quality.

The service exposes these capabilities through a standard web interface, allowing for programmatic integration with external software applications. It includes an interactive documentation interface that enables developers to test model inputs and inspect output responses directly within a browser.

The software is packaged as a containerized microservice, facilitating deployment across cloud infrastructure and managed orchestration environments. This architecture ensures consistent execution of the image processing models across diverse hosting platforms.

## Tags

### Business & Productivity Software

- [Deep Learning Upscalers](https://awesome-repositories.com/f/business-productivity-software/desktop-application-enhancers/resolution-upscalers/deep-learning-upscalers.md) — Provides a service that increases image resolution by four times using generative models to produce photo-realistic details.

### Artificial Intelligence & ML

- [Inference](https://awesome-repositories.com/f/artificial-intelligence-ml/agent-integration-apis/rest-endpoints/inference.md) — Exposes machine learning inference capabilities through standard RESTful web protocols.
- [Computer Vision Model Servers](https://awesome-repositories.com/f/artificial-intelligence-ml/computer-vision-models/computer-vision-model-servers.md) — Acts as a containerized deployment platform for serving deep learning models that perform automated image enhancement.
- [Machine Learning Model APIs](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/infrastructure/model-deployment-and-serving/inference-servers-and-runtimes/machine-learning-model-apis.md) — Exposes deep learning models through programmatic endpoints to integrate image enhancement into custom software applications.

### DevOps & Infrastructure

- [Model Deployments](https://awesome-repositories.com/f/devops-infrastructure/cloud-infrastructure-deployment/model-deployments.md) — Supports packaging and deploying image enhancement models as containerized services on cloud infrastructure and Kubernetes. ([source](https://github.com/ibm/max-image-resolution-enhancer#readme))
- [Image Enhancement API Endpoints](https://awesome-repositories.com/f/devops-infrastructure/rest-api-endpoint-management/single-endpoint-apis/image-enhancement-api-endpoints.md) — Provides programmatic API endpoints for automated image enhancement and resolution scaling. ([source](https://github.com/ibm/max-image-resolution-enhancer#readme))