Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 124 for “"Image Compression"”.
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Digital image compression.
… is a serious demand for more efficient data compression schemes. compression schemes address themselves to speech, visual and alphanumeric coded data. This thesis is concerned with the compression of visual data given in the form of still or moving pictures. such data is highly correlated …
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On lossless image compression
… growth in the size of database and the use of images has been a large increase in the number of users and duration of usage by personnel at remote locations. These factors result in tremendous amounts of data being stored and transferred between computers and remote terminals. Data compression …
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Group testing for image compression
… studies the application of group testing to image compression. Group testing is a technique used for identifying a few significant items out of a large set. Image compression studies techniques for making image data take up less storage space. We first explain the many interesting and deep …
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Image Compression by Wavelet Transform.
<p>Digital images are widely used in computer applications. Uncompressed digital images require considerable storage capacity and transmission bandwidth. Efficient image compression solutions are becoming more critical with the recent growth of data intensive, multimedia-based web applications.</p> …
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Image Compression Using Balanced Multiwavelets
… for computing the DWT. For these reasons, recent image compression standards such as JPEG2000 use the wavelet transform. It is well known that orthogonality and symmetry are desirable transform properties in image compression applications. It is also known that the scalar wavelet transform does …
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Image Compression Using Cascaded Neural Networks
Images are forming an increasingly large part of modern communications, bringing the need for efficient and effective compression. Many techniques developed for this purpose include transform coding, vector quantization and neural networks. In this thesis, a new neural network method is used to …
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Image Compression using Sum-Product Networks
… amounts of data is an important problem. Data compression lies at the heart of the solution to this issue. The two aspect of data compression — data modeling and coding — are typically jointly designed. As a result, it is difficult to evolve compression standards without a complete modification …
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Applications of Multiwavelets to Image Compression
Methods for digital image compression have been the subject of much study over the past decade. Advances in wavelet transforms and quantization methods have produced algorithms capable of surpassing the existing image compression standards like the Joint Photographic Experts Group (JPEG) algorithm. …
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Digital image compression on parallel computer architectures
… of parallel processing techniques to digital image compression. Digital image compression is used to reduce the number of bits required to store an image in computer memory and/or transmit it over a communication link. Over the past decade advancements in technology have spawned many …
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Hyperspectral image compression using implicit neural representations
Hyperspectral images (HSI) capture the full electromagnetic spectrum for each pixel in a scene. They often hold hundreds of channels per pixel, providing significantly more information compared to a comparably sized RGB color image. As the cost of obtaining these images decreases, there is a need …
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An investigation of digital image compression techniques
By its nature, digital image data contains redundant information which, if removed, can reduce the amount of bandwidth required to transmit it, or reduce the space required to store it. In this thesis the characteristics of image data that give rise to redundancy, and one technique that can be used …
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Image compression and analysis using multiresolution representation
… by many researchers to be an effective tool for image compression and analysis. We introduce several methods for the improved multiresolution representation of images. First, we introduce two algorithms for determining the optimal stack filters for the pyramidal decomposition of greyscale images …
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Orthogonal vs. Biorthogonal Wavelets for Image Compression
Effective image compression requires a non-expansive discrete wavelet transform (DWT) be employed; consequently, image border extension is a critical issue. Ideally, the image border extension method should not introduce distortion under compression. It has been shown in literature that symmetric …
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Novel methods of image compression for 3D reconstruction
Data compression techniques are widely used in the transmission and storage of 2D image, video and 3D data structures. The thesis addresses two aspects of data compression: 2D images and 3D structures by focusing research on solving the problem of compressing structured light images for 3D …
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An Object Oriented Implemtation of Fractal Image Compression
The technique of Fractal Image Compression, although new, has been described in several ways. Thus far, all descriptions of this compression algorithm read by the author have been in procedural form. The purpose of this paper is to present the Fractal Image Compression algorithm in an …
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Improved thresholding and quantization techniques for image compression
In recent decades, digital images have become increasingly important. With many modern applications use image graphics extensively, it tends to burden both the storage and transmission process. Despite the technological advances in storage and transmission, the demands placed on storage and …
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