Adaptive automatic Image enhancing

Adaptive automatic enhancing image for detecting objects. Following cpp opencv code:

 

void AutoEnhanceAdaptivePreprocessing(const cv::Mat& inputImage, cv::Mat& outputImage)
{

// Step 1: Convert to grayscale (if not already)

cv::Mat grayImage;

if (inputImage.channels() == 3)
           cv::cvtColor(inputImage, grayImage, cv::COLOR_BGR2GRAY);

 else
grayImage = inputImage.clone();

//adaptive histogram equalization

// Step 2: Apply CLAHE for adaptive histogram equalization

cv::Ptr<cv::CLAHE> clahe = cv::createCLAHE(2.0, cv::Size(8, 8)); // ClipLimit=2.0, TileGridSize=8x8

cv::Mat claheImage;

clahe->apply(grayImage, claheImage);

// Step 3: Denoising using GaussianBlur

cv::Mat denoisedImage;

cv::GaussianBlur(claheImage, denoisedImage, cv::Size(5, 5), 0);

// Step 4: Enhance contrast and brightness

double alpha = 1.5; // Contrast control (1.0-3.0)

int beta = 20;      // Brightness control (0-100)

cv::Mat contrastEnhancedImage = denoisedImage.clone();

denoisedImage.convertTo(contrastEnhancedImage, -1, alpha, beta);

cv::cvtColor(contrastEnhancedImage, outputImage, cv::COLOR_GRAY2RGB);

}