Image Contrast Enhancement Using Dual-Tree Complex Wavelet Transform MATLAB Implementation

Image enhancement is a digital image processing technique designed to improve image quality and visual appearance. This method can be implemented by increasing image contrast, adjusting brightness and color balance, removing noise, and other approaches. Image enhancement finds extensive applications across various fields including medical imaging, photography, and computer vision. By employing image enhancement techniques, we can make images clearer, more vibrant, and emphasize specific details and features. The implementation typically involves algorithms like histogram equalization for contrast adjustment, Fourier/wavelet transforms for frequency-domain processing, and filters for noise reduction. In MATLAB, key functions such as imadjust() for contrast manipulation, imfilter() for spatial filtering, and wavelet toolbox functions for multiscale analysis are commonly utilized. Image enhancement significantly improves visual impact, making images more appealing and readable for analysis and presentation purposes.