Design and Implementation of a Highly Efficient Gray Image Compression Codec Using Fuzzy Based Soft Hybrid JPEG Standard

In the last few years, rapid growth in the technological development has been reported. This rapid growth in technology demands fast and efficient processing, transmission and storage of data. Although lots of work have been reported in the literature related to efficient processing and transmission of data, but this would not be achieved without assuring reduction in data storage, as during processing and transmission most of the efforts and time is required for either accessing the data or storing the data. Therefore to cope up with the current technological demands, the data should be in highly compressed form. One of the most important form of data is digital image which is nothing but a two dimensional signal. Digital image in their raw form require a huge amount of storage capacity so that a scheme that produces high degree of compression is required which should preserve the critical image information. However JPEG standards are already available for gray image compression, but this area is still open for algorithms, which can provide better compression ratio while keeping mean square error low. Zadah in his paper proved that, imprecise situations can be properly handled using fuzzy logic. This feature of fuzzy logic has been incorporated by introducing a novel data compression technique for gray images using fuzzy logic based fusion of available JPEG and JPEG2K Standards (FSHJPEG) to achieve higher compression ratio as compared to stand alone JPEG and JPEG2K standards. The fuzzy based soft hybrid JPEG technique (FSHJPEG) gives high compression ratio, preserving most of the image information and the image is reproduced with good quality. This new technique not only gives high compression ratio, but also reduces blocking artifacts, ringing effects and false contouring appreciably. The compression ratio obtained using FSHJPEG is more as compared to currently used standards of Image compression, preserving most of the image information.