This paper proposes a new approach for the design of hardware architecture for the computation of 2D-DWT for an 8 x 8 image. The key feature of this design is to directly apply 2D-DWT on alternate pixels of an image, called as the Non-Separable method, and implement it on an FPGA. The resulting design was implemented using only 6 adders and 10 multipliers, thus optimizing the number of multipli...

In recent years, access to multimedia data has become much easier due to rapid growth of the internet. While this is usually considered an improvement of everyday life, it also makes unauthorized copying and distributing of multimedia data much easier, therefore presenting a field of watermarking.Many literatures have reported about Discrete Wavelet Transform (DWT) based watermarking for data s...

The discrete wavelet transform (DWT) has been extensively studied and developed in various scientific and engineering fields. The multiresolution and local nature of the DWT facilitates applications requiring progressiveness and the capture of high-frequency details. However, the intensive computation of DWT caused by multilevel filtering/down-sampling will become a significant bottleneck in re...

This paper presents a VLSI implementation of discrete wavelet transform (DWT). The architecture is simple, modular, and cascadable for computation of one, or multi-dimensional DWT. It comprises of four basic units: input delay, filter, register bank, and control unit. The proposed architecture is systolic in nature and performs both high-pass and low-pass coefficient calculations with only one ...

Image compression is one of the prominent topics in image processing that plays a very important role in reducing image size for real-time transmission and storage. Many of the standards recommend the use of DWT for image compression. The computational complexity of DWT imposes a major challenge for the real-time use of DWT-based image compression algorithms. In this paper, we propose a modifie...

A signal processed by the Discrete Wavelet Transform (DWT) must be periodic for perfect reconstruction to be possible. A signal that is non-periodic but which exists for a nite time can be \periodised" by repeating the signal again at its own end, making it suitable for processing by the DWT. For a continuous-time non-periodic signal, the signal has no end and as such it cannot be periodised an...

Abstract— In this paper we propose an effective, robust and imperceptible video watermarking algorithm by applying DWT (Discrete Wavelet transform) on video frames. The video frames will be first decomposed using DWT and the binary watermark will be embedded in the wavelet coefficients. The experimental results demonstrate that the propose algorithm can produce watermarked contents in good visu...

In this paper, we present an image compression scheme which exploits content-based quantization step considering the human visual system (HVS) in the Wavelet-Contourlet (DWT-CT) domain. Unlike usual DWT or CT algorithm, we decompose the image into DWT subbands followed by directional filters to account for the redundancy of the decomposition coefficients. We analyze the statistical property of ...

This paper presents an efficient method of electrocardiogram signal denoising based on a hybrid approach. Two techniques are brought together to create an efficient denoising process. The first is an Adaptive Dual Threshold Filter (ADTF) and the second is the Discrete Wavelet Transform (DWT). The presented approach is based on three steps of denoising, the DWT decomposition, the ADTF step and t...

In this research work adopted the frequency domain watermarking scheme which is embedded using discrete wavelet transform (DWT) singular value decomposition (SVD) and High Boost Filtering (HF). By singular values factoring it represent smaller set of values and it can preserve constructive feature of an original image. After that, apply high boost filtering in decomposed in high frequency sub-b...