Package g0601_0700.s0661_image_smoother

Class Solution

java.lang.Object

g0601_0700.s0661_image_smoother.Solution

public class Solution
extends Object

661 - Image Smoother\. Easy An **image smoother** is a filter of the size `3 x 3` that can be applied to each cell of an image by rounding down the average of the cell and the eight surrounding cells (i.e., the average of the nine cells in the blue smoother). If one or more of the surrounding cells of a cell is not present, we do not consider it in the average (i.e., the average of the four cells in the red smoother).  Given an `m x n` integer matrix `img` representing the grayscale of an image, return _the image after applying the smoother on each cell of it_. **Example 1:**  **Input:** img = \[\[1,1,1],[1,0,1],[1,1,1]] **Output:** [[0,0,0],[0,0,0],[0,0,0]] **Explanation:** For the points (0,0), (0,2), (2,0), (2,2): floor(3/4) = floor(0.75) = 0 For the points (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 **Example 2:**  **Input:** img = \[\[100,200,100],[200,50,200],[100,200,100]] **Output:** [[137,141,137],[141,138,141],[137,141,137]] **Explanation:** For the points (0,0), (0,2), (2,0), (2,2): floor((100+200+200+50)/4) = floor(137.5) = 137 For the points (0,1), (1,0), (1,2), (2,1): floor((200+200+50+200+100+100)/6) = floor(141.666667) = 141 For the point (1,1): floor((50+200+200+200+200+100+100+100+100)/9) = floor(138.888889) = 138 **Constraints:** * `m == img.length` * `n == img[i].length` * `1 <= m, n <= 200` * `0 <= img[i][j] <= 255`

Constructor Summary

Constructors

Constructor	Description
Solution()

Method Summary

Modifier and Type	Method	Description
int[][]	imageSmoother(int[][] matrix)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Solution

public Solution()

Method Detail

imageSmoother

public int[][] imageSmoother(int[][] matrix)