Image Enhancer

Image processing is done using machine learning algorithms and tools like OpenCV (short for Open Computer Vision). This research paper shows an improved and convenient approach towards processing of images. Images that are highly distorted by any means or noise are too common in todays' era. This problem can rise by too many reasons be it transmitting from one source to another, by physical device damages, signals poor decoding from the source and even the noise from the sensor of the device they are taken. Prior to the invention of computers and applications such as Photoshop, these jobs were clearly performed only by experts with extensive knowledge in these areas. They mainly used to process physical copies of the images like enhancing the images by brushing techniques. For eliminating undesired noises and thus providing higher image quality, a new decision-based filtering strategy combining K-means and PCA is proposed. Now a days, there are various filters available in many free editing tools that surely do enhance the quality of the image the way you want them to be.