Image quality assessment of modified adaptable VQ used in DCT based image compression schemes implemented on DSP and FPGA platforms

The world of electronics in particularly in the field of image processing, numerous distinguishable and noteworthy contributions have been made available. Specifically, image compression domain with unique, contextually relevant and significant attributes are embedded into real–time applications to better suit present day technologies. In this context, an attempt is made to suggest modifications to existed standard Vector Quantization (VQ) matrix used in Discrete Cosine Transform (DCT) based image compression, evaluating performance of the algorithm by means of functional verification, on software platform. The assessment of reconstructed image quality is carried out by varying VQ levels (Q–Factor) from level 10 to 90, by using performance metrics such as Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Compression Ratio (CR), Bits per Pixel (bpp) and percentage Space Saving respectively. Here in this research endeavour, four different experimentations have been carried out. Amongst them, two experiments have been re–investigated through simulation process to check the correctness of the algorithms, without modifications and rest of the two experiments have been the revised versions of the same, respectively. Further, the algorithms are tested by implementing on Digital Signal Processor (DSP) DSK–TMS320C6713 and Field Programmable Gate Array (FPGA) Virtex5 XC5VSX50T. The work presented here also focus and discuss about the possible merits and demerits by incorporating comparative assessment of all the techniques.