Python Image Processing with NumPy & Matplotlib – Full Course in Tamil | 100% Practicals

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Master Image Processing in Python using only NumPy and Matplotlib — no OpenCV required! This complete hands-on course takes you from loading your first image to advanced techniques like convolution, edge detection, and noise handling — all explained in Tamil with practical coding examples.

✅ What you'll learn in this course:
✅ Load, display, and understand image attributes
✅ Access and slice individual & range of pixels
✅ Work with RGB channels and grayscale conversion (SD & HD)
✅ Flip, rotate, resize, and crop images
✅ Adjust brightness, contrast, and create negative images
✅ Convert images to Black & White
✅ Apply pixel masking and circular masks
✅ Use color filters and blend multiple images
✅ Understand padding and the convolution technique
✅ Perform image blurring, sharpening, and edge detection
✅ Add random noise and analyze image histograms

This course is perfect for Python learners, data science students, and anyone who wants to understand the fundamentals of image processing without relying on high-level libraries like OpenCV — building true from-scratch understanding using just NumPy arrays and Matplotlib visualization.

📌 Chapters Covered:
00:00:00 Introduction to the Course
00:01:05 Load and Display Image
00:03:32 Image Attributes
00:10:55 Pixels - Accessing Individual and Range of Pixels
00:20:24 Slicing and Cropping Images
00:24:36 RGB Channel
00:28:27 Greyscale Image Generation - SD and HD
00:33:29 Flip Image
00:38:22 Rotate Image
00:40:40 Resize Image
00:54:29 Control Brightness and Darkness
01:01:55 Contrast Adjustment
01:06:55 Creating Negative Image
01:08:55 Black & White Image Conversion
01:12:51 Mask Image Pixels
01:14:37 Creating Circular Mask
01:24:11 Color Filters
01:28:45 Blending Multiple Images
01:32:30 Padding Image
01:38:43 Convolution Technique
01:53:28 Image Blurring
02:06:26 Image Sharpening
02:08:04 Edge Detection
02:10:55 Adding Random Noise
02:12:59 Histogram

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