نتایج جستجو برای: lossy image compressionreconstruction
تعداد نتایج: 380937 فیلتر نتایج به سال:
With extensive digitization of data and increasing use of telemedicine, most of image data in hospitals are stored in digital form using picture archiving and communication systems. The need for data storage and bandwidth requirements is increasing and lossy compression techniques have become a necessity. The successful use of the wavelet transform in the field of image compression has been ext...
With phenomenal growth in wireless multimedia image communication, the issues need to handle are resource consumption and the quality of the image being transmitted in wireless channels. The resource consumptions indicated in most literatures are bandwidth and energy consumption. The strict constrains of wireless sensor networks (WSN) on individual sensor node’s resource brings great challenges...
The substitution of digital representations for standard film/screen mammography analog images provides access to methods for digital storage and transmission and enables the use of a variety of digital image processing techniques, including enhancement and computer assisted detection and classification of abnormalities. Lossy image compression can further improve the efficiency of transmission...
In the field of image processing and computer vision (CV), machine learning (ML) architectures are widely used. Image compression problems can be solved using convolutional neural networks (CNNs). As a result bandwidth memory constraints, images is necessity. There three types information found in images: useful, redundant, irrelevant. this survey, we will discuss how ML used to compress lossy ...
Most of the images transmitted from deep space probes to Earth are subject to lossy compression. Recent NASA missions have used the ICER progressive wavelet image compressor to achieve state-of-the-art compression performance. The purpose of the research described in this paper was to demonstrate that it is possible to evolve wavelet and scaling numbers describing novel transforms that outperfo...
JPEG is the ubiquitous lossy compression protocol for images. Its efficiency depends, however, on predominant local flatness of the image. Therefore, encoding holograms (in essence, Fourier transforms of a 2D image) leaves little hope for efficient compression: the holograms typically consist of highly oscillating patterns. This article provides an overview of the JPEG lossy compression, and fo...
Medical image compression is essential for huge database storage in various hospitals and data transfer for diagnosis. Wavelets give one such approach for compression purpose. A wavelet is a wave-like oscillation with an amplitude starts from zero, increases, and then decreases again to zero. Compression techniques are divided into lossless and lossy techniques. Lossless technique involves exac...
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