“Enhancement of Cotton leaves images using various filtering techniques”

The aim of the paper is to study enhancement techniques included Gaussian filter, wiener, median, histogram equalization, weighted median, hybrid filters, multiscale retinex with color restoration and Lee filtering, Homomorphic filtering. Above filtering techniques used on cotton leaf images to enhance their appearance for diagnosis purpose. In the paper various techniques are studied to find optimal solution by evaluating parameters Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Mean Absolute Error (MAE) and MAXERR values of the image after de-noising. It is proved that Median Filter gives best solution and can be used for further processing.