Výsledky vyhľadávania - "Learning-based Image Compression"

Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules Autor Fu, Haisheng, Liang, Feng, Lin, Jianping, Li, Bing, Akbari, Mohammad, Liang, Jie, Zhang, Guohe, Liu, Dong, Tu, Chengjie, Han, Jingning

“…Recently deep learning-based image compression methods have achieved significant achievements and gradually outperformed traditional approaches including the…”
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Asymmetric Learned Image Compression With Multi-Scale Residual Block, Importance Scaling, and Post-Quantization Filtering Autor Fu, Haisheng, Liang, Feng, Liang, Jie, Li, Binglin, Zhang, Guohe, Han, Jingning

“…Recently, deep learning-based image compression has made significant progresses, and has achieved better rate-distortion (R-D) performance than the latest…”
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Learning Raw Image Reconstruction-Aware Deep Image Compressors Autor Punnappurath, Abhijith, Brown, Michael S.

“…Deep learning-based image compressors are actively being explored in an effort to supersede conventional image compression algorithms, such as JPEG…”
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Learnt Structure-based Hybrid Framework for Martian Image Compression Autor Li, Shengxi, Sun, Xiancheng, Xu, Mai, Jiang, Lai, Zou, Xin

“…Recent landing marches on Mars have enabled the access to Martian surface images, which act as an important vehicle to demystify the evolution and habitability…”
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Learning-Based Image Compression With Parameter-Adaptive Rate-Constrained Loss Autor Guerin, Nilson D., da Silva, Renam Castro, Macchiavello, Bruno

“…In recent years, the crucial task of image compression has been addressed by end-to-end neural network methods. However, achieving fine-grained rate control in…”
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A no-reference perceptual image quality assessment database for learned image codecs Autor Zhang, Jiaqi, Fang, Zhigao, Yu, Lu

“…The drastic growth of research in image compression, especially deep learning-based image compression techniques, poses new challenges to objective image…”
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ANFIC: Image Compression Using Augmented Normalizing Flows Autor Ho, Yung-Han, Chan, Chih-Chun, Peng, Wen-Hsiao, Hang, Hsueh-Ming, Domanski, Marek

“…This paper introduces an end-to-end learned image compression system, termed ANFIC, based on Augmented Normalizing Flows (ANF). ANF is a new type of flow…”
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Learned Structure-Based Hybrid Framework for Martian Image Compression Autor Li, Shengxi, Sun, Xiancheng, Xu, Mai, Jiang, Lai, Zou, Xin

“…Recent landing marches on Mars have enabled the access to Martian surface images, which act as an important vehicle to demystify the evolution and habitability…”
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Compressed-Domain Vision Transformer for Image Classification Autor Ji, Ruolei, Karam, Lina J.

“…Compressed-domain visual task schemes, where visual processing or computer vision are directly performed on the compressed-domain representations, were shown…”
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Semantic-oriented learning-based image compression by Only-Train-Once quantized autoencoders Autor Sebai, D., Shah, A. Ulah

“…Accessibility to big training datasets together with current advances in computing power has emerged interest in the leverage of deep learning to address image…”
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Designing Deep Neural High-Density Compression Engines for Radiology Images Autor Raj, Aditya, Sathish, Rakshith, Sarkar, Tandra, Sethuraman, Ramanathan, Sheet, Debdoot

“…As a speciality, radiology produces the highest volume of medical images in clinical establishments compared to other commonly employed imaging modalities like…”
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Fourier Series and Laplacian Noise-Based Quantization Error Compensation for End-to-End Learning-Based Image Compression Autor Jiang, Shiqi, Yuan, Hui, Li, Shuai, Mao, Xiaolong

“…Quantization is a core operation in lossy image compression. In the end-to-end learning-based image compression framework, quantization is conducted by a…”
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Efficient Learned Image Compression with Selective Kernel Residual Module and Channel-Wise Causal Context Model Autor Fu, Haisheng, Liang, Feng, Liang, Jie, Fang, Zhenman, Zhang, Guohe, Han, Jingning

“…Recently, learning-based image compression approaches have achieved superior performance over classical image compression methods. However, their complexities…”
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Multiscale Augmented Normalizing Flows for Image Compression Autor Windsheimer, Marc, Brand, Fabian, Kaup, Andre

“…Most learning-based image compression methods lack efficiency for high image quality due to their non-invertible design. The decoding function of the…”
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Complexity Scalable Learning-Based Image Decoding Autor Munna, Tahsir Ahmed, Ascenso, Joao

“…Recently, learning-based image compression has attracted a lot of attention, leading to the development of a new JPEG AI standard based on neural networks…”
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Learn A Compression for Objection Detection - VAE with a Bridge Autor Mei, Yixin, Li, Fan, Li, Li, Li, Zhu

“…Recent advances in sensor technology and wide deployment of visual sensors lead to a new application whereas compression of images are not mainly for pixel…”
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Learning-Based Compressed-Domain Texture Recognition Autor Ji, Ruolei, Karam, Lina J.

“…Learning-based image compression methods were shown to result in a competitive or even better compression performance than state-of-the-art conventional…”
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Device Interoperability for Learned Image Compression with Weights and Activations Quantization Autor Koyuncu, Esin, Solovyev, Timofey, Alshina, Elena, Kaup, Andre

“…Learning-based image compression has improved to a level where it can outperform traditional image codecs such as HEVC and VVC in terms of coding performance…”
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Perceptual impact of the loss function on deep-learning image coding performance Autor Mohammadi, Shima, Ascenso, Joao

“…Nowadays, deep-learning image coding solutions have shown similar or better compression efficiency than conventional solutions based on hand-crafted transforms…”
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