Výsledky vyhľadávania - "Transform coding"

Large-Scale Crowdsourced Subjective Assessment of Picturewise Just Noticeable Difference Autor Lin, Hanhe, Chen, Guangan, Jenadeleh, Mohsen, Hosu, Vlad, Reips, Ulf-Dietrich, Hamzaoui, Raouf, Saupe, Dietmar

“…The picturewise just noticeable difference (PJND) for a given image, compression scheme, and subject is the smallest distortion level that the subject can perceive when the image is compressed with this compression scheme…”
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Image Quality Assessment Based on Gradient Similarity Autor Anmin Liu, Weisi Lin, Narwaria, M.

“…In this paper, we propose a new image quality assessment (IQA) scheme, with emphasis on gradient similarity. Gradients convey important visual information and…”
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Learning to Rank for Blind Image Quality Assessment Autor Gao, Fei, Tao, Dacheng, Gao, Xinbo, Li, Xuelong

“… State-of-the-art BIQA methods typically require subjects to score a large number of images to train a robust model…”
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Reversible data hiding: Advances in the past two decades Autor Shi, Yun-Qing, Li, Xiaolong, Zhang, Xinpeng, Wu, Hao-Tian, Ma, Bin

“… This has been verified by more and more papers on increasingly wide-spread subjects in the field of RDH research that have been published these days…”
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End-to-End Learnable Multi-Scale Feature Compression for VCM Autor Kim, Yeongwoong, Jeong, Hyewon, Yu, Janghyun, Kim, Younhee, Lee, Jooyoung, Jeong, Se Yoon, Kim, Hui Yong

“… In the feature compression track of MPEG-VCM, multi-scale features extracted from images are subject to compression…”
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Standardization Status of Immersive Video Coding Autor Wien, Mathias, Boyce, Jill M., Stockhammer, Thomas, Peng, Wen-Hsiao

“…Based on increasing availability of capture and display devices dedicated to immersive media, coding, and transmission of these media has recently become a highest-priority subject of standardization…”
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In-Place Double Stimulus Methodology for Subjective Assessment of High Quality Images Autor Mohammadi, Shima, Jenadeleh, Mohsen, Testolina, Michela, Sneyers, Jon, Ebrahimi, Touradj, Saupe, Dietmar, Ascenso, Joao

“… The In-place Double Stimulus Quality Scale (IDSQS) allows subjects to alternately view a reference and a distorted image at the same spatial location, facilitating a more intuitive detection of differences in quality, especially at high to visually…”
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No-reference quality assessment using natural scene statistics: JPEG2000 Autor Sheikh, H.R., Bovik, A.C., Cormack, L.

“…Measurement of image or video quality is crucial for many image-processing algorithms, such as acquisition, compression, restoration, enhancement, and…”
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Predicting the Quality of Fused Long Wave Infrared and Visible Light Images Autor Moreno-Villamarin, David Eduardo, Benitez-Restrepo, Hernan Dario, Bovik, Alan Conrad

“…The capability to automatically evaluate the quality of long wave infrared (LWIR) and visible light images has the potential to play an important role in…”
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PanSAM-HAT: A Hybrid Attention Transformer With Panchromatic Spectral Attention Module for Compression Artifacts Removal in Satellite Imagery Autor Kim, Hyun-Ho, Kim, Jaemyung, Seo, Doo-Chun, Jeong, Jae-Heon, Kim, Yongwoo

“…Multispectral (MS) satellite images are often subject to spatial-spectral variable compression (SSVC…”
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Joint Source-Channel Coding of JPEG 2000 Image Transmission Over Two-Way Multi-Relay Networks Autor Bi, Chongyuan, Liang, Jie

“… image distortion for the two users, subject to a rate constraint. Two fast algorithms based on dynamic programming and branch and bound are then developed…”
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Exploring Low Cost Optimal Watermark for Reusable IP Cores During High Level Synthesis Autor Sengupta, Anirban, Bhadauria, Saumya

“… (such as JPEG and MPEG) as a sustainable solution. This has led to the domain of IP protection for anti-piracy as an important subject of research for a system design…”
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Augmented convolutional feature maps for robust CNN-based camera model identification Autor Bayar, Belhassen, Stamm, Matthew C.

“… While several algorithms have been proposed to accomplish this, their performance degrades significantly if the image is subject to post-processing…”
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Data-Driven Lightweight Interest Point Selection for Large-Scale Visual Search Autor Gao, Feng, Zhang, Xinfeng, Huang, Yicheng, Luo, Yong, Li, Xiaoming, Duan, Ling-Yu

“… or recognize the images or frames with target objects or events. Subject to the constraints of resources (e.g…”
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The Adjustment/Satisfaction Test (A/ST) for the Evaluation of Personalization in Broadcast Services and Its Application to Dialogue Enhancement Autor Torcoli, Matteo, Herre, Jurgen, Fuchs, Harald, Paulus, Jouni, Uhle, Christian

“… This is a perceptual test where subjects interact with a user-adjustable system and their adjustments and the resulting satisfaction levels are studied…”
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Fuzzy Similarity-Based Emotional Classification of Color Images Autor Lee, Joonwhoan, Park, EunJong

“…This paper proposes a novel scheme for evaluating an emotional response to color images. The proposed scheme uses case-based reasoning in which the…”
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Effective Decompression of JPEG Document Images Autor Pham, The-Anh, Delalandre, Mathieu

“…This paper concentrates on developing an effective approach for decompressing JPEG document images. Our main goal is targeted to time-critical applications,…”
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Large-Scale Crowdsourcing Subjective Quality Evaluation of Learning-Based Image Coding Autor Upenik, Evgeniy, Testolina, Michela, Ascenso, Joao, Pereira, Fernando, Ebrahimi, Touradj

“… The subjective experiment is one of the largest ever reported including more than 240 pair-comparisons evaluated by 118 naïve subjects…”
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Quantization of KLT Matrices via GMRF Modeling of Image Blocks for Adaptive Transform Coding Autor Boragolla, Rashmi, Yahampath, Pradeepa

“…Forward adaptive transform coding of images requires a codebook of transform matrices from which the best transform can be chosen for each macroblock…”
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Remote Vector Gaussian Source Coding With Decoder Side Information Under Mutual Information and Distortion Constraints Autor Tian, Chao, Chen, Jun

“…: WisinP min I(Y; Z) subject to one of the following two possible constraints: 1) I(X; W|Z) ges R I , and 2) the mean squared error between X and Xcirc…”
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