Results 41 to 50 of about 7,136,792 (296)
Digital Image Compression using Karhunen-Loève Transform [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2013 In this research present the digital image compression using by Karhunen-Loève Transform (KLT), by convert a color digital image to a gray square digital image, then select the no. of eigen values and eigen vectors that can reconstruct the image, that
Ghada Younes
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Journal of Algorithms & Computational Technology, 2019 Regarding the problems of insufficient image segmentation intelligence, low compression rate, slow speed for global searching to find the optimal fractal image compression encoding, and bad decoding effect, this article proposes the fractal image ...
Wenjing Li +3 more
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Learned Block-Based Hybrid Image Compression [PDF]
IEEE transactions on circuits and systems for video technology (Print), 2020 Recent works on learned image compression perform encoding and decoding processes in a full-resolution manner, resulting in two problems when deployed for practical applications.
Yaojun Wu +4 more
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An End-to-End Deep Learning Image Compression Framework Based on Semantic Analysis
Applied Sciences, 2019 Lossy image compression can reduce the bandwidth required for image transmission in a network and the storage space of a device, which is of great value in improving network efficiency.
Cheng Wang, Yifei Han, Weidong Wang
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SWF Image Compression by Evaluating objects compression ratio
Journal of Kufa for Mathematics and Computer, 2010 This work discusses the compression objects ratio for Macromedia Flash File (SWF) Image by Wavelet functions for compression and there effect for Macromedia Flash File (SWF) Images compression .
Hind Rostom Mohammed, Ameer Abd Al-Razaq
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A novel lossy image compression algorithm using multi-models stacked AutoEncoders
Array, 2023 The extensive use of images in many fields increased the demand for image compression algorithms to overcome the transfer bandwidth and storage limitations. With image compression, disk space, and transmission speed can be efficiently reduced.
Salam Fraihat, Mohammed Azmi Al-Betar
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Analysis of the compression ratio and quality in aerial images
Aviation, 2007 In modern photomap systems, images are stored in centralized storage. Choosing a proper compression format for the storage of an aerial image is an important problem. This paper analyses aerial image compression in popular compression formats.
Darius Mateika, Romanas Martavicius
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Coarse-to-Fine Hyper-Prior Modeling for Learned Image Compression
AAAI Conference on Artificial Intelligence, 2020 Approaches to image compression with machine learning now achieve superior performance on the compression rate compared to existing hybrid codecs. The conventional learning-based methods for image compression exploits hyper-prior and spatial context ...
Yueyu Hu, Wenhan Yang, Jiaying Liu
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Full Resolution Image Compression with Recurrent Neural Networks [PDF]
Computer Vision and Pattern Recognition, 2016 This paper presents a set of full-resolution lossy image compression methods based on neural networks. Each of the architectures we describe can provide variable compression rates during deployment without requiring retraining of the network: each ...
G. Toderici +6 more
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A Multilayer Improved RBM Network Based Image Compression Method in Wireless Sensor Networks
International Journal of Distributed Sensor Networks, 2016 The processing capacity and power of nodes in a Wireless Sensor Network (WSN) are limited. And most image compression algorithms in WSN are subject to random image content changes or have low image qualities after the images are decoded.
Chunling Cheng +3 more
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