The development of the higher quality and cheaper image acquisition devices has produced steady increases in both resolution and image size, and a greater consequent for the design of efficient compression techniques . Although the storage capacity and transfer bandwidth has grown accordingly in past years, many applications still require compression. Uncompressed multimedia (graphics, video and audio) data requires storage capacity and transmission bandwidth. Despite the frequent progress in mass-storage density, processor speeds, and the performance of digital communication system , demands for data storage capacity and data transfer bandwidth. The amount of data related with visual information is so large that its storage would requires more storage capacity. Storage and/or transmission of such data require large capacity and/or bandwidth, which could be very expensive. In this research work we present a technique which is a combination of DWT technique and enhanced by Fuzzy logic function. The aim is to give a better compression ratio along with increasing the visual perception quality of the image. Fuzzy logic Technique have been used in various areas involving clustering, data aggregation pattern deduction etc. We are using fuzzy logic in this technique to improve the quality of the compressed image resulted from DWT image compression technique.

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Fuzzy Enhanced 3-Level Dwt Image Compression

— 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 etcis 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

Upendra Kumar Srivastav

Papers

Hybrid Image Compression using DCT and Fuzzy Logic