In this paper, we proposed a new method for spatially registered multi-focus images fusion. Image fusion based on wavelet transform is the most commonly fusion method, which fuses the source images information in wavelet domain according to some fusion rules. There are some disadvantages in Discrete Wavelet Transform, such as shift variance and poor directionality. Also, because of the uncertai...

In this paper, a wavelet-based scheme for digital image watermarking is presented. This proposed scheme is blind, which means that it requires neither the original image nor any side information in watermark recovery. It is based on inserting the watermark bits into the coarsest scale wavelet coefficients. Three-level wavelet decomposition and a watermark equal in size to the detail sub-bands i...

This paper presents an epilepsy detection method based on discrete wavelet transform (DWT) and Machine learning classifiers. Here DWT has been used for feature extraction as it provides a better decomposition of the signals in different frequency bands. At first, applied to EEG signal extract detail approximate coefficients or sub-bands. After coefficients, principal component analysis (PCA) su...

Satellite images are being used in numerous fields of aspects. The major controversy of various types of images is their resolution. In this paper, proposed a new satellite image resolution enhancement technique based on the interpolation of the high frequency sub bands obtained by discrete wavelet transform and the input image. The proposed declaration intensification technique uses DWT to dec...

now a day, multimodality medical image fusion has drawn lots of attention with the increasing rate at which multimodality medical images are available in many clinic application fields. Radiotherapy plan, for instance, often benefits from the complementary information in images of different modalities. CT scans and MRI scans contains details regarding soft and hard tissues. For medical diagnosi...

This paper presents a new VLSI friendly framework for scalable video coding based on Compressed Sensing (CS). It achieves scalability through 3-Dimensional Discrete Wavelet Transform (3-D DWT) and better compression ratio by exploiting the inherent sparsity of the high frequency wavelet sub-bands through CS. By using 3-D DWT and a proposed adaptive measurement scheme called AMS at the encoder, ...

In order to removes the ring effect in traditional image denoising algorithms using wavelet thresholding, the paper analyzes the wavelet coefficients of noise images, uses second-order central moment of HH1 sub-bands as the noise variance and computes threshold values; and then performs wavelet thresholding denoising on each image block. At last, the paper weights these denoised wavelet coeffic...

This paper describes a new design of a psychoacoustic model for audio coding following the model used in the standard MPEG-1 audio layer 3 using an appropriate wavelet packet decomposition of the speech/audio signal. The design of a psychoacoustic model is achieved by wavelet packet decomposition whose connections are selected in such a way that sub bands correspond to the best possible one to ...

In a multi script environment, a collection of documents printed in different scripts is in practice. For automatic processing of such documents through Optical Character Recognition, it is necessary to identify the script type of the document. In this paper, a novel texture-based approach is presented to identify the script type of the documents printed in three prioritized scripts Kannada, Hi...