Image processing is any form of information processing for which both the input and output are images, such as photographs or frames of video. Most image processing techniques involve treating the image as a two-dimensional signal and applying standard signal processing techniques to it. There are various techniques for processing an image such as linear scaling, optical ethods, digital processing, fuzzy techniques..
The few examples of fuzzy techniques are: Fuzzy contrast adjustment, Subjective Image Enhancement, Fuzzy Image Segmentation Fuzzy Edge Detection, Image enhancement:
The various image processing techniques employed such as linear scaling, optical methods have not been able to handle the disturbances occurring in processing an image Hence Fuzzy techniques used in processing an image, have evolved as the most efficient solution for this problem. These techniques with fuzzy sets give much-improved image compared to the others. Fuzzy techniques help us to cope up with the day-to-day problems
arising in the field of image processing