# ImageQualityAssessment

**Repository Path**: midi1/image-quality-assessment

## Basic Information

- **Project Name**: ImageQualityAssessment
- **Description**: A Python toolset for evaluating image quality metrics including PSNR, SSIM, MS-SSIM, WS-PSNR, and S-PSNR.
- **Primary Language**: Python
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2023-09-12
- **Last Updated**: 2023-09-12

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# ImageQualityAssessment

## Description
A Python toolset for evaluating image quality metrics including PSNR, SSIM, MS-SSIM, WS-PSNR, and S-PSNR.



## Usage
Run the script via command line and pass the path of the source image as an argument.

```python
python main.py ./imgs_test/BaboonRGB_512x512.bmp
```

![image-20230912223722065](./static/1694529437017.jpg)



## Naming Convention

For the script to correctly identify source and target images, they should be named following a specific convention:

- Source Image: `sourceName.bmp`
- Target Images: `sourceName_targetDetails.bmp`

Both source and target images should be separated by an underscore `_`.

Example:

- Source Image: `BaboonRGB_512x512.bmp`
- Target Images: `BaboonRGB_512x512_compressed.bmp`, `BaboonRGB_512x512_filtered.bmp`



## Supported Image Formats
The script uses OpenCV for image reading, and therefore supports a variety of formats, including but not limited to:

- BMP
- JPEG
- JPG
- PNG
- TIFF

Make sure the source and target images are in one of these supported formats.