[LeetCode] 661. Image Smoother_Easy
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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].
思路就是正常的, 两个for loop, 然后将8个邻居和自己相加取平均数, 最后代替原来的数即可.
T: O(m,n) S; O(1)
Code
class Solution: def imageSmoother(self, M): dirs, lrc = [(x, y) for x in range(-1,2) for y in range(-1,2)], [len(M), len(M[0])] ans = [[0]* lrc[1] for _ in range(lrc[0])] def sum2(i, j): ans, count = 0, 0 for c1, c2 in dirs: nr, nc = i + c1, j + c2 if 0 <= nr < lrc[0] and 0 <= nc < lrc[1]: count += 1 ans += M[nr][nc] return ans//count for i in range(lrc[0]): for j in range(lrc[1]): ans[i][j] = sum2(i,j) return ans
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[LeetCode] 661. Image Smoother_Easy