LeetCode: Image Smoother

LeetCode: Image Smoother

Given a 2D integer matrix M representing the gray scale of an image, you need to design a smoother to make the gray scale of each cell becomes the average gray scale (rounding down) of all the 8 surrounding cells and itself. If a cell has less than 8 surrounding cells, then use as many as you can.

Example 1:

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Input:
[[1,1,1],
 [1,0,1],
 [1,1,1]]
Output:
[[0, 0, 0],
 [0, 0, 0],
 [0, 0, 0]]
Explanation:
For the point (0,0), (0,2), (2,0), (2,2): floor(3/4) = floor(0.75) = 0
For the point (0,1), (1,0), (1,2), (2,1): floor(5/6) = floor(0.83333333) = 0
For the point (1,1): floor(8/9) = floor(0.88888889) = 0

Note:

  1. The value in the given matrix is in the range of [0, 255].
  2. The length and width of the given matrix are in the range of [1, 150].
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    class Solution {
        public int[][] imageSmoother(int[][] M) {
            if (M == null || M.length == 0 || M[0] == null || M[0].length == 0) return new int[0][0];

            int[][] result = new int[M.length][M[0].length];
            for (int x = 0; x < M.length; x++) {
                for (int y = 0; y < M[0].length; y++) {
                    result[x][y] = helper(x, y, M);
                }
            }
            return result;
        }

        private int helper(int x, int y, int[][] M) {
            int sum = 0;
            int count = 0;
            sum += M[x][y];
            count++;
            if (x > 0) {
                sum += M[x - 1][y];
                count++;
            }
            if (y > 0) {
                sum += M[x][y - 1];
                count++;
            }

            if (x > 0 && y > 0) {
                sum += M[x - 1][y - 1];
                count++;
            }

            if (x < M.length - 1) {
                sum += M[x + 1][y];
                count++;
            }

            if (y < M[x].length - 1) {
                sum += M[x][y + 1];
                count++;
            }

            if (x < M.length - 1 && y < M[x].length - 1) {
                sum += M[x + 1][y + 1];
                count++;
            }

            if (x > 0 && y < M[x].length - 1) {
                sum += M[x - 1][y + 1];
                count++;
            }

            if (y > 0 && x < M.length - 1) {
                sum += M[x + 1][y - 1];
                count++;
            }

            return sum / count;
        }
    }