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A High Performance Novel Image Compression Technique using Hybrid Transform for Multimedia Applications


P.John Paul, P. N. Girija


Vol. 11  No. 4  pp. 119-125


In advanced multimedia applications which are normally used in 3G communications, image compression can improve the performance of the systems by reducing time and cost in image storage and transmission without significant reduction of the image quality. This rapid growth of digital imaging applications which includes teleconferencing, high-definition television (HDTV) (e.g. i-phone) has increased the need for effective and standardized image compression techniques. These techniques have become more prominent with the help of System-On-Chip (SOC) technology, which gives low power, less area and high speed requirements. But of course, uncompressed multimedia which is normally called as lossless image compression used in medical imaging requires considerable storage capacity and transmission bandwidth. For all these things to achieve, discrete cosine transform has emerged as the new state-of-the art standard for image compression. This paper proposes novel and high performance architecture for image compression which is based on the frequency domain representation. The digitized image is compressed using Discrete Hartley Transform (DHT), Discrete Walsh Transform (DWT), Discrete Fourier Transform (DFT), and Discrete Radon Transform (DRT) and their combinations with DHT. Discrete Hartley Transform is used as basic transform because of its reversibility, hence other transform kernels can developed from DHT. The proposed architecture is developed using Verilog Hardware Descriptive Language and has been tested for still images. Simulation Results show the hybrid transforms DHT+DCT and DHT+DRT give better results with respect to compression ratios.


VLSI, Discrete Cosine Transform, JPEG, Hartley transform, Radon Transform