This paper provides comparison between two image compression technique such as DCT and DWT. Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) are the most commonly used transformation. DCT has high energy compaction property and requires less computational resources. On the other hand, DWT is multi-resolution transformation. PSNR and Compression ratio are one of the parameter...

This paper presents VLSI architecture for lifting based 2D DWT architecture with reduced delay. The proposed structure offers high speed and high area efficiency. Fast computation is achieved by replacing conventional multiplier units of DWT architecture with Vedic multiplier. Three sutras of Vedic multiplication are employed to reduce logic shifting operations of multiplier units and so high s...

The digital data can be transformed using Discrete Wavelet Transform (DWT). The Discrete Wavelet Transform (DWT) was based on time-scale representation, which provides efficient multi-resolution. The lifting based scheme (9, 7) (Here 9 Low Pass filter coefficients and the 7 High Pass filter coefficients) filter give lossy mode of information. The lifting based DWT are lower computational comple...

Discrete wavelet transform (DWT) is the one of the main approaches used for image compression. A new discrete wavelet transform (DWT) architecture is proposed in this paper to realize a memory-efficient 2D DWT unit. The main goal of the proposed system is to change the processing unit in the pipelined DWT. Processing unit is modified in such a way that total number of processing required in the...

The basic requisites for any steganography algorithm include imperceptibility, embedding capacity and robustness to communication attacks. To measure the quality of gray-scale or color image, the metric such as PSNR is widely used by researchers in steganography. However, for digital color image, there are many other options such as WPSNR, PSNRE, PSNRY, PSNR-HSR, CQM etc. In this paper, we have...

The 2-D Discrete Wavelet Transform (DWT) suits image processing applications well, allowing for excellent compression. Many architectures have been proposed to perform the 1, 2 and 3-D DWT, but few address the precision necessary to ensure perfect reconstruction. The goal of this work is to experimentally determine the precision needed to store the results of a 2-D DWT without introducing round...

In this paper, we propose a hybrid IBTC-DWT encoding a digital image. The method combines the simple computation and edge preservation prosperities of interpolative block truncation coding(IBTC) and high compression ratio of discrete wavelet transform(DWT), implemented with significantly lower coding delay than DWT alone, and to achieve a reduced bit rate is also proposed and investigated. In t...

This paper deals with the video encoding techniques using Spatial and Temporal DWT (Discrete Wavelet transform). Here we will discuss about two video encoding mechanisms and their performance at different levels of DWT. Memory is the major criteria for any video processing algorithm. So, in this paper we will focus on the efficient utilization of the system memory at increased level of spatial ...

A DSP engine for discrete wavelet transformation (DWT) is introduced in this paper. Serial processing DWT architecture provides a better speed and efficiency, makes DWT better choice for image processing than DCT. A dedicated hardware DWT architecture attached to a general purpose microprocessor provided the programmability of data access make possible for dynamic scheduling for various DSP app...

We present a method of measuring galaxy power spectrum based on the multiresolution analysis of the discrete wavelet transformation (DWT). Besides the technical advantages of the computational feasibility for data sets with large volume and complex geometry, the DWT scale-by-scale decomposition provides a physical insight into the covariance matrix of the cosmic mass field. Since the DWT repres...