Blurry Image Detection in Laravel

Elevating Image Quality in Web Applications with Laravel and Python

source: https://www.toptal.com/opencv/python-image-processing-in-computational-photography

Crucial aspect of user experience, storing blurry images is significantly detract from the quality of a website or application. This article delves into how you can detect and manage blurry images using Laravel with help of Python and OpenCV, ensuring the application’s media remains sharp and engaging.

The Challenge of Blurry Images

Blurry images are more than just a visual nuisance; they can undermine the professionalism of your website or app. In e-commerce, real estate listings, online galleries or any platform where image quality is paramount, ensuring clarity is essential. The challenge lies in detecting blurriness programmatically.

Laravel to the Rescue

Laravel can be paired with Python to create an effective solution for this problem. By leveraging Laravel’s file validation alongside a Python script utilizing OpenCV, developers can seamlessly integrate blur detection into their file upload processes.

The Core Concept — Blurriness Detection

The detection of blurry images involves analyzing the image’s sharpness. This is typically done using the Laplacian operator, a mathematical tool used in image processing. The Laplacian operator measures the rate at which pixel intensity changes, and a lower variance of the Laplacian indicates a blurrier image.

Implementing in Laravel

In Laravel, we can create a custom validation rule to check for image blurriness. This rule executes a Python script that uses the Laplacian operator to determine the sharpness of the image. Let’s break down the process:

Installation OpenCV Python:

Install PIP (Ubuntu) :

sudo apt install python3-pip

Install OpenCV using PIP

pip3 install opencv-python

You might want to consider to install under www-data user if your application runs under www-data. If Yes, follow below commands to install

sudo mkdir /var/www/.local…