Besides many advantages of wavelet transform, it has several drawbacks, e.g. ringing, shift variance, aliasing and lack of directionality. Some of them can be eliminated by using wavelet packet transform, stationary wavelet transform, complex wavelet transform, adaptive directional lifting-based wavelet transform, or adaptive wavelet filter banks that use either L2 or L1 norm. This paper contai...

Wavelet transform; Multilingual text; Wavelet decomposition; Gabor filter; k-Means clustering; Linked list approach; Wavelet entropy Abstract The present paper presents one of the efficient approaches towards multilingual text detection for video indexing. In this paper, we propose a method for detecting text located in varying and complex background in images/video. The present approach compri...

In this paper, we propose a method for 2D partial shape recognition under affine transform using the discrete dyadic wavelet transform invariant to translation well known as Stationary Wavelet Transform or SWT. The method we propose here is about partial shape matching and is based firstly on contour representation using the wavelet transform. A technique of sub matrix matching is then used to ...

The wavelet transform has become a useful computational tool for a variety of signal and image processing applications. For example, the wavelet transform is useful for the compression of digital image files; smaller files are important for storing images using less memory and for transmitting images faster and more reliably. The FBI uses wavelet transforms for compressing digitally scanned fin...

In this paper we have presented a method for fusing 2D images using wavelet transform under the combine gradient and smoothness criterion. The usefulness of the method had been illustrated using various experimental image pairs such as multifocus, multi-sensor satellite image and CT and MR images of cross-section of human brain. The result of the proposed method have been compared with that of ...

Different seismic data compression algorithms have been developed in order to make the storage more efficient, and to reduce both the transmission time and cost. In general, those algorithms have three stages: transformation, quantization and coding. The Wavelet transform is highly used to compress seismic data, due to the capabilities of the Wavelets on representing geophysical events in seism...

The multifractal nature of solar photospheric magnetic structures are studied using the 2D wavelet transform modulus maxima (WTMM) method. This relies on computing partition functions from the wavelet transform skeleton defined by the WTMM method. This skeleton provides an adaptive spacescale partition of the fractal distribution under study, from which one can extract the multifractal singular...

We consider a Wavelet Based Video Coder: Our proposed blocks are based on Second Generation Wavelets (SGW), a mathematic transform, successfully applied in (t+2D) coding. We apply on video images, the mathematical transform to locate and to encode results of the motion compensation process. This signal processing theory allows a well adapted coding of high frequencies. These wavelets can be des...

Automatic human detection is an important application where security is the main concern. As human detection problem involves classification of two objects as humans and others, a human detection using intelligent video surveillance system is presented using support vector machine to detect human in surveillance field. In this paper, in order to improve the efficiency of the machine learning 2D...

Analysis of tides and internal waves from model studies in the South China Sea is done using three techniques. We summarize results from standard Fourier methods, continuous wavelet analysis and the direct scattering transform. Because the Fourier and wavelet analysis are inherently linear methods their utility in application to nonlinear dynamics is often questioned. Nevertheless, they have sh...