Study on Image Enhancement Using Lifting and Stationary Wavelet Transforms and Contrast Limited Adaptive Histogram Equalization

Objectives: To develop an image enhancement technique that includes both resolution and contrast enhancement. Resolution is the ability of an image to show its details. In this method, Stationary Wavelet Transform (SWT) is used in combination with Lifting Wavelet Transform (LWT) for resolution enhancement and SWT with the combination of Contrast limited adaptive Histogram Equalization (CLAHE) for contrast enhancement. SWT is used in combination with LWT improves the resolution and also minimizes the execution time drastically. SWT is combined with CLAHE to enhance the Contrast and mitigate the noise effects than existing methods. The proposed method gives superior results, and it is proved with Peak Signal to Noise Ratio (PSNR), Noise Estimation and Root Mean Square Error (RMSE), and pictorial results.