Mango Fruit Image Enhancement using Convolution Filters for Automatic Fruit Sorting Machine

In this modern era transmission of digital images are becoming a major method of communication. Errors in image acquisition process is based on noise and they do not duplicate the accurate intensities of the exact scene. This image used as an input for decision making. To produce high quality image, noise should be removed by using suitable algorithm. There are various types of noises that degrades the image such as salt and pepper noise, Gaussian noise and Poisson noise, it’s necessary to have knowledge about the noise present in the image.  The paper proposed a new algorithm “Convolution Filter (CMF)”. This approach has been proved that to have better PSNR value to remove the noise in digital image when compared to the other existing algorithms.