.......# 📄 AI-Powered Document Scanner and Image Processing System

📌 Overview

This project implements a complete document scanner system using Python and OpenCV.
It performs image acquisition, resolution analysis, gray-level quantization, and quality evaluation for document processing and OCR readiness.

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🚀 Features

✔ Image Acquisition from document images
✔ Grayscale conversion and resizing
✔ Image Sampling (Resolution Analysis)
✔ Image Quantization (Gray Level Reduction)
✔ Quality Observation and OCR suitability analysis
✔ Automatic output saving system

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🧠 Tasks Implemented

🔹 Task 1: System Introduction

Displays welcome message and system description.

🔹 Task 2: Image Acquisition

• Load document image
• Resize to 512×512
• Convert to grayscale
• Display original vs grayscale

🔹 Task 3: Image Sampling

• High resolution (512×512)
• Medium resolution (256×256)
• Low resolution (128×128)
• Upscaling for visualization
• Comparison of clarity and edges

🔹 Task 4: Image Quantization

• 256 gray levels (8-bit)
• 16 gray levels (4-bit)
• 4 gray levels (2-bit)
• Visualization of quantization artifacts

🔹 Task 5: Quality Analysis

• Loss of fine text details
• Readability degradation
• OCR suitability evaluation
• Single comparison figure output

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📂 Project Structure