Design of Two Level DWT Architecture for Multimedia Applications
Dr. G. Nagarjuna Reddy · 2013
Images are to be transmitted without loss of information. That can be achieved by transforming using Discrete Wavelet Transform (DWT). The discrete wavelet transform (DWT) is being increasingly used for image coding. This is due to the fact that DWT supports features like progressive image transmission (by quality, by resolution), ease of transformed image manipulation, region of interest coding, etc. Hence, there is a need of design efficient & fast architecture for DWT. This paper is introducing an efficient architecture to enhance speed of DWT Computation. The Discrete Wavelet Transform (DWT) is based on time-scale representation, which provides efficient multi-resolution. The introduced architecture increases levels of DWT architecture to achieve lower computational complexity and reduced memory. As the DWT traditionally been implemented by convolution which demands both a large number of computations and a large storage features that are not desirable for either high-speed or low-power applications. This paper describes Lossless 2-D DWT (Discrete Wavelet Transform) using Lifting Scheme Architecture to reduce computational overheads. The behavior of designed DWT architecture is modeled using the Verilog HDL and functionality could be verified using the Modelsim simulation tool. Index Terms-Discrete wavelet transform, very-large-scale integration (VLSI), folded architecture, single-input/single- output