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🔵 Image Smoother Explained | Java Solution

Welcome to this coding tutorial where we'll dive into solving the "Image Smoother" problem! This problem deals with image processing and the concept of applying a smoothing filter over each pixel of an image.

📚 Problem Overview:
Given a matrix representing a grayscale image, our task is to apply a 3x3 smoothing filter to each pixel. The value of each pixel in the smoothed image will be the rounded-down average of the pixel and its eight surrounding pixels. If some surrounding pixels are out of bounds, we only consider the valid ones.

🔍 Key Steps:
1. Iterate through each pixel in the matrix.
2. For each pixel, calculate the sum of the pixel and its eight surrounding pixels.
3. Calculate the average by dividing the sum by the number of valid surrounding pixels.
4. Round down the average value and assign it to the corresponding pixel in the smoothed image.

📝 Constraints:
The matrix can have dimensions up to 200x200.
The grayscale values range from 0 to 255.

🖥️ Java Solution:
We'll walk through a step-by-step Java solution, explaining the logic and the code constructs used to solve this problem efficiently.

By the end of this video, you'll have a clear understanding of how to apply image smoothing algorithms programmatically and will be able to implement the solution in Java.

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