Analysis of Image Using Discrete Cosine Transformation

Digital image processing remains a challenging domain of programming. There are several transforms that do image transformation. Image denoising aims at attenuating the noise while retaining the image content. Data (image) compression is the reduction or elimination of redundancy in data representation in order to achieve reduction in storage and communication cost. Many algorithms and VLSI architectures for the fast computation of DCT have been proposed. A discrete cosine transform (DCT) expresses a sequence of finitely many data points in terms of a sum of cosine functions oscillating at different frequencies. DCTs are important to numerous applications in science and engineering. I can perform discrete cosine transformation by different algorithms, in this paper we use pixels processing. In this paper we have implement method for image transformation, and analysis using discrete cosine transformation technique and develop results using matlab coding.
In future the matlab code can be converted to VHDL code and implement on FPGA kit in order to develop ASIC (application specific IC) for image transformation and analysis. This will give a generalization to image processing.