题目:
In the following, every capital letter represents some hexadecimal digit from 0 to f.
The red-green-blue color "#AABBCC" can be written as "#ABC" in shorthand.
For example, "#15c" is shorthand for the color "#1155cc".
Now, say the similarity between two colors "#ABCDEF" and "#UVWXYZ" is -(AB
- UV)^2 - (CD - WX)^2 - (EF - YZ)^2.
Given the color "#ABCDEF", return a 7 character color that is most similar to #ABCDEF,
and has a shorthand (that is, it can be represented as some "#XYZ"
Example 1: Input: color = "#09f166" Output: "#11ee66" Explanation: The similarity is -(0x09 - 0x11)^2 -(0xf1 - 0xee)^2 - (0x66 - 0x66)^2 = -64 -9 -0 = -73. This is the highest among any shorthand color.
Note:
coloris a string of length7.coloris a valid RGB color: fori > 0,color[i]is a hexadecimal digit from0tof- Any answer which has the same (highest) similarity as the best answer will be accepted.
- All inputs and outputs should use lowercase letters, and the output is 7 characters.
思路:
我们发现R,G,B三个分量之间是相互独立的,所以可以各个单独进行计算。对于每个分量,假如对应的输入为s,那么最多有三个候选的最近颜色:string(2, s[0] - 1), string(2, s[0])以及string(2, s[0] + 1)。所以我们分别进行比较,选出距离最小的即可。
值得注意的是,当s[0] == '9'或者s[0] == 'a'的时候,我们需要进行特殊处理,否则在16进制转换的时候会出错。
代码:
class Solution {
public:
string similarRGB(string color) {
string ret("#");
for (int i = 0; i <= 2; ++i) {
char c = getSimilar(color.substr(2 * i + 1, 2));
ret += string(2, c);
}
return ret;
}
private:
char getSimilar(string s) {
int min_diff = abs(stoi(s, NULL, 16) - stoi(string(2, s[0]), NULL, 16));
char min_char = s[0], c;
if (s[0] > '0') {
c = s[0] == 'a' ? '9' : s[0] - 1;
int diff = abs(stoi(s, NULL, 16) - stoi(string(2, c), NULL, 16));
if (diff < min_diff) {
min_diff = diff;
min_char = c;
}
}
if (s[0] < 'f') {
c = s[0] == '9' ? 'a' : s[0] + 1;
int diff = abs(stoi(s, NULL, 16) - stoi(string(2, c), NULL, 16));
if (diff < min_diff) {
min_diff = diff;
min_char = c;
}
}
return min_char;
}
};
本文介绍了一种高效的算法,用于寻找与给定RGB颜色最相似的短格式颜色。通过计算不同颜色之间的相似度,该算法能快速找到最佳匹配项,并详细解释了实现过程。
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