Results 11 to 20 of about 11,907,247 (288)
Quality Degradation in Lossy Wavelet Image Compression [PDF]
Journal of Digital Imaging, 2003 The objective of this study was to develop a method for measuring quality degradation in lossy wavelet image compression. Quality degradation is due to denoising and edge blurring effects that cause smoothness in the compressed image. The peak Moran z histogram ratio between the reconstructed and original images is used as an index for degradation ...
Tzong-Jer Chen +5 more
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Lossy image compression based on prediction error and vector quantisation
EURASIP Journal on Image and Video Processing, 2017 Lossy image compression has been gaining importance in recent years due to the enormous increase in the volume of image data employed for Internet and other applications. In a lossy compression, it is essential to ensure that the compression process does
Mohamed Uvaze Ahamed Ayoobkhan +2 more
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Lossy Image Compression with Quantized Hierarchical VAEs [PDF]
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023 Recent research has shown a strong theoretical connection between variational autoencoders (VAEs) and the rate-distortion theory. Motivated by this, we consider the problem of lossy image compression from the perspective of generative modeling. Starting with ResNet VAEs, which are originally designed for data (image) distribution modeling, we redesign ...
Zhihao Duan +3 more
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Efficient reconfigurable architectures for 3D medical image compression [PDF]
, 2010 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Recently, the more widespread use of three-dimensional (3-D) imaging modalities, such as magnetic resonance imaging (MRI), computed tomography (CT ...
Afandi, Ahmad
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IEEE Access, 2021 Data compression is an important part of information security because compressed data is more secure and easy to handle. Effective data compression technology creates efficient, secure, and easy-to-connect data.
Osama Fouad Abdel Wahab +3 more
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Observer Dependent Lossy Image Compression [PDF]
, 2021 Deep neural networks have recently advanced the state-of-the-art in image compression and surpassed many traditional compression algorithms. The training of such networks involves carefully trading off entropy of the latent representation against reconstruction quality. The term quality crucially depends on the observer of the images which, in the vast
Maurice Weber +3 more
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Performance analysis of compression algorithms for information security: A Review [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2020 Data compression is a vital part of information security, since compressed data is much more secure and convenient tohandle. Effective data compression technique creates an effective, secure, easy communicable & redundant data.
Neha Sharma, Usha Batra
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Preliminary analysis of noisy image lossy compression by discrete atomic transform-based coder
Авіаційно-космічна техніка та технологія, 2023 Remote sensing provides data (images) important for many modern applications. Image number and average size tend to increase. This makes their transfer via communication lines, storage, and dissemination problematic.
Viktor Makarichev +2 more
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Lossy Image Compression with Compressive Autoencoders
CoRR, 2017 We propose a new approach to the problem of optimizing autoencoders for lossy image compression. New media formats, changing hardware technology, as well as diverse requirements and content types create a need for compression algo- rithms which are more flexible than existing codecs.
Huszar, Ferenc +3 more
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Passive Event-Based Extrapolation for Lossy Haptic Data Compression in Bilateral Presence Systems [PDF]
, 2009 A new lossy compression method is proposed for haptic (force, velocity) data as exchanged in bilateral telepresence systems. The method is based on the passive extrapolative compression strategy proposed in [1].
Hirzinger, Gerd +9 more
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