Image Analysis Project on Image Enhancement and Edge Detection

The first objective is to implement image enhancement techniques, such as: • Histogram stretching • Power law or log transform • Linear (convolution) and non-linear filtering (Median filter) • Any other useful approach to improve the quality of the input images. By image quality, we mean any criteria that can be used to enhance the appearance of the image. Which must provide the user with the choice of any combination of approaches to improve the appearance of the image. After enhancing the image, your code must provide a selection of edge detectors to extract the contours of the image. For the purpose of display, generate the magnitude of the gradient. a. Description of the approaches and justifications: Report must justify the choices made for image enhancing and edge detection stages and have also to provide justifications if more than one technique is applied for smoothing or edge detection. The parameter values for each technique (for instance, the value of if gamma correction is required) must be included in the report. Image is down below.