Abstract— Today there has been big advancement in digital technology that has led to the development of various easily usable devices and methods specially in the fields of communications and data transfer to a longer distances. The transmission of data in the form of documents, images, voice etc.is now reachable to all parts of the society and the services are affordable to a larger number of people. An important aspect is data compression and for that matter Image compression, as images form a larger part of data being exchanged over the internet through social networking and messaging sites and apps all over the world. Among all the various kinds of data images and videos constitute the bulkiest data. Thus, need for compressing the image and video files is an important aspect in data communication. In this research work we present a technique for image compression, using Discrete Cosine Transform and Fuzzy Logic Techniques. The algorithm used in this paper is tested along with several images and the results are compared with other techniques. Our method shows an improved performance both in compression ratio as well as image perceptibility.