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:
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:
- The value in the given matrix is in the range of [0, 255].
- The length and width of the given matrix are in the range of [1, 150].
/**
* @param {number[][]} M
* @return {number[][]}
*/
var imageSmoother = function(M) {
/**
* Smooth the cell
* @param {number} i: The row number of current cell
* @param {number} j: The column number of current cell
*/
function smoother(i, j, origM, targetM) {
let totalCells = 0;
let sum = 0;
for (let x = i-1; x <= i+1; x++) {
for (let y = j-1; y <= j+1; y++) {
if (x < 0 || x >= origM.length) {
break;
}
if (y >= 0 && y < origM[i].length) {
if (origM[x][y]) {
sum += origM[x][y];
}
totalCells++;
}
}
}
targetM[i][j] = Math.floor(sum/totalCells);
}
let result = [];
for (let i = 0; i < M.length; i++) {
result[i] = [];
for (let j = 0; j < M[i].length; j++) {
smoother(i, j, M, result);
}
}
return result;
};