Application of BPCS stenography to wavelet compressed video
Abstract: This paper presents a stenography method using lossy compressed video which provides a natural way to send a large amount of secret data. The proposed method is based on wavelet compression for video data and bit-plane complexity segmentation (BPCS) stenography. In wavelet-based video compression methods such as 3-D set partitioning in hierarchical trees (SPIHT) algorithm and motion-JPEG2000, wavelet coefficients in discrete wavelet transformed video are quantized into a bit ....etc

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The biggest obstacle to the multimedia revolution is digital obesity. This is the blot that occurs when pictures, sound and video are converted from their natural analog form into computer language for manipulation or transmission. In the present explosion of high quality data, the need to compress it with less distortion of data is the need of the hour. Compression lowers the cost of storage and transmission by packing data into a smaller space. One of the hottest areas of advanced form of compression is wavelet compression. Wavelet Video ....etc

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An Efficient Algorithm for iris pattern Recognition using 2D Gabor Wavelet

Wavelet analysis have received significant attention because their multi-resolution decomposition allows efficient image analysis. It is widely used for varied applications such as noise reduction, and data compression, etc. In this paper we have introduced and applied the concept of 2 dimensional Gabor wavelet transform to Biometric Iris recognition system. The application of this transform in encoding the iris image for pa ....etc

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Introduction

Uncompressed multimedia data requires considerable storage capacity and transmission bandwidth. Despite rapid progress in mass storage density processor speeds and digital communication system performance, demand for data storage capacity and data transmission bandwidth continues to outstrip the capabilities of available technologies. The recent growth of data intensive multimedia-based web applications have not only sustained the need for more efficient ways to encode signals and images but have made compression of such signal ....etc

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Wavelet analysis have received significant attention because their multi-resolution decomposition allows efficient image analysis. It is widely used for varied applications such as noise reduction, and data compression, etc. In this paper we have introduced and applied the concept of 2 dimensional Gabor wavelet transform to Biometric Iris recognition system. The application of this transform in encoding the iris image for pattern recognition proves to achieve increased accuracy and processing speed compared to other methods. With a strong scien ....etc

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Abstract
In this thesis, an adaptive compression scheme based on the wavelet transform is implemented for grayscale images. The wavelet packet decomposition of the input image is performed, and from this, a best adapted wavelet packet tree is determined. A technique for representing this tree using a bitstring is proposed. This string is included in the output stream, for reconstruction of the image. The coefficients of the transform are vector quantized and written to the output stream. The method is compared with other wavelet based compres ....etc

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For many years signal analyses and processing are being done either in frequency domain or in time domain. However, information about both time and frequency is needed in many cases for proper signal analysis. Multi resolution analysis is a relatively new concept that tries to get time as well as frequency information simultaneously. Wavelet transform is perhaps the most popular technique of multiresolution analysis. The seminar introduces basic concepts of wavelets and multiresolution analysis with respect to its application ....etc

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Wavelet Video Processing Technology

Uncompressed multimedia data requires considerable storage capacity and transmission bandwidth. Despite rapid progress in mass storage density processor speeds and digital communication system performance, demand for data storage capacity and data transmission bandwidth continues to outstrip the capabilities of available technologies. The recent growth of data intensive multimedia-based web applications have not only sustained the need for more efficient ways to ....etc

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Introduction

Wavelet transforms have been one of the important signal processing developments in the last decade, especially for the applications such as time-frequency analysis, data compression, segmentation and vision. During the past decade, several efficient implementations of wavelet transforms have been derived. The theory of wavelets has roots in quantum mechanics and the theory of functions though a unifying framework is a recent occurrence. Wavelet analysis is performed using a prototype function called a wavelet.

Wavelets are ....etc

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please send me the complete information on wavelet transform for image compression applications ....etc

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