117 - 661 图片平滑器

题目

包含整数的二维矩阵 M 表示一个图片的灰度。你需要设计一个平滑器来让每一个单元的灰度成为平均灰度 (向下舍入) ,平均灰度的计算是周围的8个单元和它本身的值求平均,如果周围的单元格不足八个,则尽可能多的利用它们。

示例 1:

输入: [[1,1,1], [1,0,1], [1,1,1]]

输出: [[0, 0, 0], [0, 0, 0], [0, 0, 0]]

解释: 对于点 (0,0), (0,2), (2,0), (2,2): 平均(3/4) = 平均(0.75) = 0 对于点 (0,1), (1,0), (1,2), (2,1): 平均(5/6) = 平均(0.83333333) = 0 对于点 (1,1): 平均(8/9) = 平均(0.88888889) = 0

注意:

  1. 给定矩阵中的整数范围为 [0, 255]。

  2. 矩阵的长和宽的范围均为 [1, 150]。

解答

class Solution(object):
    def imageSmoother(self, M):
        R, C = len(M), len(M[0])
        ans = [[0] * C for _ in M]

        for r in xrange(R):
            for c in xrange(C):
                count = 0
                for nr in (r-1, r, r+1):
                    for nc in (c-1, c, c+1):
                        if 0 <= nr < R and 0 <= nc < C:
                            ans[r][c] += M[nr][nc]
                            count += 1
                ans[r][c] /= count

        return ans

Runtime: 636 ms, faster than 59.90% of Python online submissions for Image Smoother.

Memory Usage: 11.9 MB, less than 100.00% of Python online submissions for Image Smoother.

https://leetcode.com/problems/image-smoother/discuss/106593/C%2B%2B-O(1)-space-using-%22game-of-life%22-idea

Runtime: 124 ms, faster than 83.33% of JavaScript online submissions for Image Smoother.

Memory Usage: 42.5 MB, less than 100.00% of JavaScript online submissions for Image Smoother.

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