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Subband coding and image compression using cnn - Moreira‐Tamayo - 12 個引述 | |
Subband coding and image compression using CNN
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Wiley Online Library
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由 O Moreira‐Tamayo 著作1999被引用 12 次 — In this work, we have addressed all the transformation steps needed in image compression, i.e. decorrela- tion, bit allocation, quantization and bit extraction.
Subband coding and image compression using CNN
Wiley Online Library
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由 O Moreira‐Tamayo 著作1999被引用 12 次 — The cellular neural network paradigm has found many applications in image processing. However, algorithms for image compression using CNN ...
Subband coding and image compression using CNN
Eindhoven University of Technology
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Eindhoven University of Technology
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由 O Moreira-Tamayo 著作1999被引用 12 次 — In this work, we have addressed all the transformation steps needed in image compression, i.e. decorrelation, bit allocation, quantization and bit extraction.
Subband coding and image compression using CNN
Eindhoven University of Technology
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Eindhoven University of Technology
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Fingerprint. Dive into the research topics of 'Subband coding and image compression using CNN'. Together they form a unique fingerprint.
Subband coding and image compression using CNN
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Subband coding and image compression using CNN · International Journal of Circuit Theory and Applications 27(1): 135-151 · 1999 · Related References · Quick Search.
Convolutional autoencoders for wavelet subband encoding ...
ResearchGate
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2024年7月11日 — We present in this paper a study of medical image compression based on an adaptive quantization scheme capable of preserving clinically useful ...
Machine-Learning Based Secondary Transform for ...
IEEE Xplore
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由 X Li 著作2021被引用 8 次 — This paper proposes a convolutional neural network (CNN) based secondary transform for not only improved coding efficiency in the JPEG2000 image compression ...
IMAGE COMPRESSION BY CNN
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由 PL VENETIANER 著作被引用 8 次 — The last column compares the efficiency of the subband and the JPEG coding, demonstrating that our algorithm is superior for all test images, the difference ...
A Structurally Regularized CNN Architecture via Adaptive ...
arXiv
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arXiv
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由 P Sinha 著作2023被引用 4 次 — We propose a generalized convolutional neural network (CNN) architecture that first decomposes the input signal into subbands by an adaptive filter bank ...
Compression of subband-filtered images via neural networks
IEEE Xplore
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由 S Carrato 著作1992被引用 5 次 — Abstract: A novel architecture for image compression is proposed, which is based on a suitable combination of subband filtering and linear neural networks.