Computational analysis of hybrid SVD-DCT image multiplexing-demultiplexing algorithm using variable quantization levels

The change from the cine film to digital methods of image exchange and archival is primarily motivated by the ease and flexibility of handling digital image information instead of the film media. The principal approach in data compression is the reduction of the amount of image data (bits) while preserving information (image details), so that the image can be stored or transferred more efficiently. Multiplexing uses the available channel capacity effectively. The discrete cosine transform (DCT) converts a signal into elementary frequency components. The proposed work explores the computational analysis of a hybrid SVD-DCT technique for image multiplexing using variable quantization levels and variable ranks. This paper primarily focuses on the significance of image multiplexing by incorporating compression with different quantization matrices and variable ranks. The efficiency of such a system is measured using Compression Ratio (CR), Peak Signal to Noise Ratio (PSNR) and image quality analysis visually. This technology is a key enabling factor in many imaging and multimedia concepts, where multiplexing and compression of image data is required.