832. Flipping an Image
Description
Given an n x n binary matrix image, flip the image horizontally, then invert it, and return the resulting image.
To flip an image horizontally means that each row of the image is reversed.
- For example, flipping
[1,1,0]horizontally results in[0,1,1].
To invert an image means that each 0 is replaced by 1, and each 1 is replaced by 0.
- For example, inverting
[0,1,1]results in[1,0,0].
Example 1:
Input: image = [[1,1,0],[1,0,1],[0,0,0]] Output: [[1,0,0],[0,1,0],[1,1,1]] Explanation: First reverse each row: [[0,1,1],[1,0,1],[0,0,0]]. Then, invert the image: [[1,0,0],[0,1,0],[1,1,1]]
Example 2:
Input: image = [[1,1,0,0],[1,0,0,1],[0,1,1,1],[1,0,1,0]] Output: [[1,1,0,0],[0,1,1,0],[0,0,0,1],[1,0,1,0]] Explanation: First reverse each row: [[0,0,1,1],[1,0,0,1],[1,1,1,0],[0,1,0,1]]. Then invert the image: [[1,1,0,0],[0,1,1,0],[0,0,0,1],[1,0,1,0]]
Constraints:
n == image.lengthn == image[i].length1 <= n <= 20images[i][j]is either0or1.
Solutions
Solution 1: Two Pointers
We can traverse the matrix, and for each row \(\textit{row}\), we use two pointers \(i\) and \(j\) pointing to the first and last elements of the row, respectively. If \(\textit{row}[i] = \textit{row}[j]\), swapping them will keep their values unchanged, so we only need to XOR invert \(\textit{row}[i]\) and \(\textit{row}[j]\), then move \(i\) and \(j\) one position towards the center until \(i \geq j\). If \(\textit{row}[i] \neq \textit{row}[j]\), swapping and then inverting their values will also keep them unchanged, so no operation is needed.
Finally, if \(i = j\), we directly invert \(\textit{row}[i]\).
The time complexity is \(O(n^2)\), where \(n\) is the number of rows or columns in the matrix. The space complexity is \(O(1)\).
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