Respuesta :
Code for calculating the median, geometric mean, arithmetic mean, adaptive local noise reduction, and adaptive median filters. Your software receives a 2d matrix as input:
// Median
function median(matrix) {
// sort array
const sorted = matrix.sort((a, b) => a - b);
const mid = Math.floor(sorted.length / 2);
const isEven = sorted.length % 2 === 0;
if (isEven) {
return (sorted[mid - 1] + sorted[mid]) / 2;
}
return sorted[mid];
}
// Arithmetic Mean
function arithmeticMean(matrix) {
return matrix.reduce((a, b) => a + b, 0) / matrix.length;
}
// Geometric Mean
function geometricMean(matrix) {
return Math.pow(
matrix.reduce((a, b) => a * b, 1),
1 / matrix.length
);
}
// Adaptive Local Noise Reduction
function adaptiveLocalNoiseReduction(matrix) {
const result = [];
const windowSize = 3;
for (let i = 0; i < matrix.length; i++) {
for (let j = 0; j < matrix[i].length; j++) {
const nums = [];
for (let x = i - windowSize; x <= i + windowSize; x++) {
for (let y = j - windowSize; y <= j + windowSize; y++) {
const row = matrix[x] ? matrix[x][y] : 0;
if (row) {
nums.push(row);
}
}
}
result.push(median(nums));
}
}
return result;
}
// Adaptive Median Filter
function adaptiveMedianFilter(matrix) {
const result = [];
const windowSize = 3;
for (let i = 0; i < matrix.length; i++) {
for (let j = 0; j < matrix[i].length; j++) {
const nums = [];
for (let x = i - windowSize; x <= i + windowSize; x++) {
for (let y = j - windowSize; y <= j + windowSize; y++) {
const row = matrix[x] ? matrix[x][y] : 0;
if (row) {
nums.push(row);
}
}
}
const medianValue = median(nums);
const medianDiff = nums.map((x) => Math.abs(x - medianValue));
const minDiff = Math.min(...medianDiff);
const minIndex = medianDiff.indexOf(minDiff);
result.push(nums[minIndex]);
}
}
return result;
}
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