https://github.com/gsahonero/vsi.jl

https://github.com/gsahonero/vsi.jl

Last synced: about 2 months ago
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• Host: GitHub
• URL: https://github.com/gsahonero/vsi.jl
• Owner: gsahonero
• License: mit
• Created: 2024-11-18T19:49:11.000Z (2 months ago)
• Default Branch: master
• Last Pushed: 2024-11-18T21:02:58.000Z (2 months ago)
• Last Synced: 2024-11-18T22:19:32.685Z (2 months ago)
• Language: Julia
• Size: 268 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# VSI

[![Build Status](https://github.com/gsahonero/VSI.jl/actions/workflows/CI.yml/badge.svg?branch=master)](https://github.com/gsahonero/VSI.jl/actions/workflows/CI.yml?query=branch%3Amaster)

A Julia implementation of Visual Saliency-Induced Index (VSI) metric. This implementation follows the logic implemented in [this blog post](https://imageprocessing-sankarsrin.blogspot.com/2017/10/vsi-visual-saliency-induced-index-image.html). Please, check [comments](#comments) before using.

## Setup

For now: 

```julia

using Pkg;

Pkg.add(url="https://github.com/gsahonero/VSI.jl")

Pkg.dev("VSI")

```

## Usage

The classic example: 

```julia

using VSI

using Images

# Read images

using Images

# Read images

ref = Images.load("../VSI/Julia Implementation/r0.png")

dist = Images.load("../VSI/Julia Implementation/r1.png")

# Calculate the perceptual quality score (VSI)

@time score = VSI_score(ref, dist)

# Output the score

println("VSI score: ", score)

```

## Parameters of `VSI_score`

- `ref`:`Image` - reference image

- `dist`:`Image` - distorted image

## Comments

- (AFAIK) Julia does not have an implementation of the VSI metric, this "package" should do the trick. 

- Due to differences with MATLAB implementations and numerical operations, the results may differ slightly.