Relevant bibliographies by topics / Image Encode

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Image Encode'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Image Encode"

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Zhao, Anxin, Liang Li, and Shuai Liu. "UIDF-Net: Unsupervised Image Dehazing and Fusion Utilizing GAN and Encoder–Decoder." Journal of Imaging 10, no. 7 (2024): 164. http://dx.doi.org/10.3390/jimaging10070164.

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Haze weather deteriorates image quality, causing images to become blurry with reduced contrast. This makes object edges and features unclear, leading to lower detection accuracy and reliability. To enhance haze removal effectiveness, we propose an image dehazing and fusion network based on the encoder–decoder paradigm (UIDF-Net). This network leverages the Image Fusion Module (MDL-IFM) to fuse the features of dehazed images, producing clearer results. Additionally, to better extract haze information, we introduce a haze encoder (Mist-Encode) that effectively processes different frequency featu
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Narmatha, C., P. Manimegalai, and S. Manimurugan. "A Grayscale Image Hiding Encode Scheme for Secure Transmission." Current Signal Transduction Therapy 14, no. 2 (2019): 146–51. http://dx.doi.org/10.2174/1574362413666180802124040.

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Background: To transmit the secret data are in a secure manner or to prevent the intruder/ third party activities while transmitting secret data’s through the public networks are challenging task now. In order to deal with these situations, this paper presents an encryption/encoding technique of MSI (Modified Steganography for Image) for secret data before transmitting over the network. Methods: The MSI technique is classified into two phases, one is stegano image creation by encode process and another one is reconstructing the secret data from the stegano image by decode process. In encode pr
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Hu, Yu-Chen, Chia-Chen Lin, and Kang-Liang Chi. "Block Prediction Vector Quantization for Grayscale Image Compression." Fundamenta Informaticae 78, no. 2 (2007): 257–70. https://doi.org/10.3233/fun-2007-78204.

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This paper presents a new image compression scheme based on vector quantization (VQ) that exploits the inter-block and intra-block correlations in grayscale images. The similar block prediction technique is designed to encode the image blocks by their similar neighboring encoded blocks. Besides, two codebooks are used in the proposed scheme to exploit the intra-block correlation within each image block. Experimental results show that the proposed scheme not only provides good image qualities but also cuts down the required bit rates.
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Liu, Weihuang, Xiaodong Cun, Chi-Man Pun, Menghan Xia, Yong Zhang, and Jue Wang. "CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 2 (2023): 1746–54. http://dx.doi.org/10.1609/aaai.v37i2.25263.

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Image inpainting aims to fill the missing hole of the input. It is hard to solve this task efficiently when facing high-resolution images due to two reasons: (1) Large reception field needs to be handled for high-resolution image inpainting. (2) The general encoder and decoder network synthesizes many background pixels synchronously due to the form of the image matrix. In this paper, we try to break the above limitations for the first time thanks to the recent development of continuous implicit representation. In detail, we down-sample and encode the degraded image to produce the spatial-adapt
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Cui, Yuan, and Bo Nian Li. "A Multimedia System Based on OMAP3530." Applied Mechanics and Materials 40-41 (November 2010): 506–9. http://dx.doi.org/10.4028/www.scientific.net/amm.40-41.506.

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JPEG images decoded and encoded rapidly and effectively based on OMAP3530 chip. USB camera deployed as images’ acquisition equipment, and used the ARM + DSP multi-core OMAP3530 processor as image decode-encode processing chip. The results sent to the user interface ultimately. System’s development was based on DVSDK. The result proved system fast than others.
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Buhmann, Joachim M., Tilman Lange, and Ulrich Ramacher. "Image Segmentation by Networks of Spiking Neurons." Neural Computation 17, no. 5 (2005): 1010–31. http://dx.doi.org/10.1162/0899766053491913.

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A network of leaky integrate-and-fire (IAF) neurons is proposed to segment gray-scale images. The network architecture with local competition between neurons that encode segment assignments of image blocks is motivated by a histogram clustering approach to image segmentation. Lateral excitatory connections between neighboring image sites yield a local smoothing of segments. The mean firing rate of class membership neurons encodes the image segmentation. A weight modification scheme is proposed that estimates segment-specific prototypical histograms. The robustness properties of the network imp
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Truong Giang, Khang, Soohwan Song, and Sungho Jo. "TopicFM: Robust and Interpretable Topic-Assisted Feature Matching." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 2 (2023): 2447–55. http://dx.doi.org/10.1609/aaai.v37i2.25341.

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This study addresses an image-matching problem in challenging cases, such as large scene variations or textureless scenes. To gain robustness to such situations, most previous studies have attempted to encode the global contexts of a scene via graph neural networks or transformers. However, these contexts do not explicitly represent high-level contextual information, such as structural shapes or semantic instances; therefore, the encoded features are still not sufficiently discriminative in challenging scenes. We propose a novel image-matching method that applies a topic-modeling strategy to e
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Jain, Arpit, Chaman Verma, Neerendra Kumar, Maria Simona Raboaca, Jyoti Narayan Baliya, and George Suciu. "Image Geo-Site Estimation Using Convolutional Auto-Encoder and Multi-Label Support Vector Machine." Information 14, no. 1 (2023): 29. http://dx.doi.org/10.3390/info14010029.

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The estimation of an image geo-site solely based on its contents is a promising task. Compelling image labelling relies heavily on contextual information, which is not as simple as recognizing a single object in an image. An Auto-Encode-based support vector machine approach is proposed in this work to estimate the image geo-site to address the issue of misclassifying the estimations. The proposed method for geo-site estimation is conducted using a dataset consisting of 125 classes of various images captured within 125 countries. The proposed work uses a convolutional Auto-Encode for training a
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Hara, Yuki, and Tomonori Kawano. "Run-Length Encoding Graphic Rules Applied to DNA-Coded Images and Animation Editable by Polymerase Chain Reactions." Journal of Advanced Computational Intelligence and Intelligent Informatics 19, no. 1 (2015): 5–10. http://dx.doi.org/10.20965/jaciii.2015.p0005.

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We previously proposed novel designs for artificial genes as media for storing digitally compressed image data, specifically for biocomputing by analogy to natural genes mainly used to encode proteins. A run-length encoding (RLE) rule had been applied in DNA-based image data processing, to form coding regions, and noncoding regions were created as space for designing biochemical editing. In the present study, we apply the RLE-based image-coding rule to creation of DNAbased animation. This article consisted of three parts: (i) a theoretical review of RLE-based image coding by DNA, (ii) a techni
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Li, Zhen, Changgen Peng, Weijie Tan, and Liangrong Li. "A Novel Chaos-Based Image Encryption Scheme by Using Randomly DNA Encode and Plaintext Related Permutation." Applied Sciences 10, no. 21 (2020): 7469. http://dx.doi.org/10.3390/app10217469.

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To ensure the security and privacy of digital image when its transmitting online or storing in the cloud, we proposed a novel chaos based image encryption scheme by using randomly DNA encode and plaintext related permutation. In our scheme, we first randomly encode plain image into a nucleotide sequence under the control by the piecewise linear chaotic map(PWLCM). After that, the plaintext related permutation would be done under the control sequence which generated by hyper chaotic Lorenz system (HCLS). Next, we make diffusion processing with key DNA sequence which is generated by another PWLC
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Dissertations / Theses on the topic "Image Encode"

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Silva, Alan Henrique Ferreira. "Aplicação de transformação conforme em codificação e decodificação de imagens." Universidade Federal de Goiás, 2016. http://repositorio.bc.ufg.br/tede/handle/tede/7015.

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Submitted by JÚLIO HEBER SILVA (julioheber@yahoo.com.br) on 2017-03-24T17:48:37Z No. of bitstreams: 2 Dissertação - Alan Henrique Ferreira Silva - 2016.pdf: 10881029 bytes, checksum: 1c411277f8b103cc8a55709053ed7f9b (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)<br>Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2017-03-27T15:13:01Z (GMT) No. of bitstreams: 2 Dissertação - Alan Henrique Ferreira Silva - 2016.pdf: 10881029 bytes, checksum: 1c411277f8b103cc8a55709053ed7f9b (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8
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Nelson, Christopher. "Contour encoded compression and transmission /." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1613.pdf.

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Rew, Gayle Astrid Adele. "Studies in zone plate encoded holography with high energy gamma rays." Thesis, University of Birmingham, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366166.

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Nelson, Christopher B. "Contour Encoded Compression and Transmission." BYU ScholarsArchive, 2006. https://scholarsarchive.byu.edu/etd/1096.

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As the need for digital libraries, especially genealogical libraries, continues to rise, the need for efficient document image compression is becoming more and more apparent. In addition, because many digital library users access them from dial-up Internet connections, efficient strategies for compression and progressive transmission become essential to facilitate browsing operations. To meet this need, we developed a novel method for representing document images in a parametric form. Like other “hybrid" image compression operations, the Contour Encoded Compression and Transmission (CECAT) sys
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Sen, Basabdatta B. "Information recovery from rank-order encoded images." Thesis, University of Manchester, 2008. http://eprints.lincoln.ac.uk/10601/.

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The time to detection of a visual stimulus by the primate eye is recorded at 100 – 150ms. This near instantaneous recognition is in spite of the considerable processing required by the several stages of the visual pathway to recognise and react to a visual scene. How this is achieved is still a matter of speculation. Rank-order codes have been proposed as a means of encoding by the primate eye in the rapid transmission of the initial burst of information from the sensory neurons to the brain. We study the efficiency of rank-order codes in encoding perceptually-important information in an image
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Geddes, Patrick H. "Displaying and improving run-length encoded images on a BTOS system." Master's thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-02162010-020208/.

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Sayers, Edward John. "An encoded microwell array for multi-image analysis of cells." Thesis, Cardiff University, 2012. http://orca.cf.ac.uk/32306/.

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In cell populations there is a great deal of heterogeneity. Cells can be seen to react different to the same stimulus despite being the same cell type and under the same conditions. Single cell analysis of a population is, therefore, crucial to understanding the nature of these differences. Using different technologies to study a single cell can help a researcher gather more data on the nature of these differences. The first part of this study looked at the development of a microwell array as a technique to allow correlative microscopy of non-adherent cell types. Laser ablation was used to gen
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Oh, Han, and Yookyung Kim. "Low-Complexity Perceptual JPEG2000 Encoder for Aerial Images." International Foundation for Telemetering, 2011. http://hdl.handle.net/10150/595684.

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ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada<br>A highly compressed image inevitably has visible compression artifacts. To minimize these artifacts, many compression algorithms exploit the varying sensitivity of the human visual system (HVS) to different frequencies. However, this sensitivity has typically been measured at the near-threshold level where distortion is just noticeable. Thus, it is unclear that the same sensitivity applies at the supra-thre
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Pai, Saparna. "Molecular characterisation of EBV encoded immunomodulators and their role in EBV associated infections and malignancies /." [St. Lucia, Qld.], 2002. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17138.pdf.

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Nam, Ju-Hun, Seong-Jong Kim, Sung-Min Kim, Nam-Sik Lee, and Jin-Hyung Kim. "Implementation of real-time DIS H.264 Encoder for Airborne Recorder." International Foundation for Telemetering, 2012. http://hdl.handle.net/10150/581621.

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ITC/USA 2012 Conference Proceedings / The Forty-Eighth Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2012 / Town and Country Resort & Convention Center, San Diego, California<br>When developing a video compression system in black box for aircraft, it is necessary to consider the characteristic of the images and the surrounding environment. The images captured in and out of aircraft have excessive movement-related issues, which make the results difficult to analyze and interpret. Failure to remove the tremors in the video component inevitably leads to po
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Books on the topic "Image Encode"

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Montherlant, Henry de. Il y a encore des paradis: Images d'Alger, 1928-1931. Arléa, 1998.

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Fisher, Bruce J. Methodology used to produce an encoded 1:100,000-scale digital hydrographic data layer for the Pacific Northwest. U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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Fisher, Bruce J. Methodology used to produce an encoded 1:100,000-scale digital hydrographic data layer for the Pacific Northwest. U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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Generazio, Edward R. Determination of grain size distribution function using two-dimensional Fourier transforms of tone pulse encoded images. National Aeronautics and Space Administration, 1986.

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Generazio, Edward R. Determination of grain size distribution function using two-dimensional Fourier transforms of tone pulse encoded images. National Aeronautics and Space Administration, 1986.

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Ozer, Jan. Adobe digital video how-tos: 100 essential techniques with Adobe production studio. Peachpit, 2007.

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Pas encore une image: L'atelier contemporain. François-Marie Deyrolle éditeur, 2019.

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Sahandi, Mohammad Reza. Image compression using vector encoding: Illumination correction, noise reduction, and thresholding of digitized CCTV signals produce binary images which are encoded as vector lists---. 1987.

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Bruno, Michael A. Error and Uncertainty in Diagnostic Radiology. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780190665395.001.0001.

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Diagnostic radiology is a medical specialty that is primarily devoted to the diagnostic process, centered on the interpretation of medical images. This book reviews the high level of uncertainty inherent to radiological interpretation and the overlap that exists between the uncertainty of the process and what might be considered “error.” There is also a great deal of variability inherent in the physical and technological aspects of the imaging process itself. The information in diagnostic images is subtly encoded, with a broad range of “normal” that usually overlaps the even broader range of “
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de Vignemont, Frédérique. Taxonomies of Body Representations. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198735885.003.0009.

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This chapter considers the relationship between body representations, action, and bodily experiences. It first clarifies the conceptual landscape of body representations and stresses the conceptual and empirical difficulties that the current body schema/body image taxonomy faces, difficulties that can be explained by their constant interaction but not only. There is indeed a lack of precise understanding of the functional role of the body schema as opposed to the body image. Instead of these unclear notions, the chapter proposes distinguishing different types of body representations on the bas
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Book chapters on the topic "Image Encode"

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Alfalou, Ayman, Ali Mansour, Marwa Elbouz, and Christian Brosseau. "Optical Compression Scheme to Simultaneously Multiplex and Encode Images." In Optical and Digital Image Processing. Wiley-VCH Verlag GmbH & Co. KGaA, 2011. http://dx.doi.org/10.1002/9783527635245.ch21.

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Reynolds, Conor. "Formalizing the Institution for Event-B in the Coq Proof Assistant." In Rigorous State-Based Methods. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77543-8_17.

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AbstractWe formalize a fragment of the theory of institutions sufficient to establish basic facts about the institution "Image missing" for Event-B, and its relationship with the institution "Image missing" for first-order predicate logic. We prove the satisfaction condition for "Image missing" and encode the institution comorphism "Image missing" embedding "Image missing" in "Image missing" .
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Gong, Yansheng, and Wenfeng Jing. "A Fully-Nested Encoder-Decoder Framework for Anomaly Detection." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_75.

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AbstractAnomaly detection is an important branch of computer vision. At present, a variety of deep learning models are applied to anomaly detection. However, the lack of abnormal samples makes supervised learning difficult to implement. In this paper, we mainly study abnormal detection tasks based on unsupervised learning and propose a Fully-Nested Encoder-decoder Framework. The main part of the proposed generating model consists of a generator and a discriminator, which are adversarially trained based on normal data samples. In order to improve the image reconstruction capability of the gener
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Fumanal-Idocin, Javier, Zdenko Takáč, L’ubomíra Horanská, Humberto Bustince, and Oscar Cordon. "Fuzzy Clustering to Encode Contextual Information in Artistic Image Classification." In Information Processing and Management of Uncertainty in Knowledge-Based Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08974-9_28.

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Wang, Shuo, Ardeshir Osanlou, and Peter Excell. "Use of Digital Holography to Re-Encode and Image Chinese Movable Type Printing." In Springer Series on Cultural Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42097-0_5.

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Starchak, Mikhail R. "On the Existential Arithmetics with Addition and Bitwise Minimum." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30829-1_9.

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AbstractThis paper presents a similar approach for existential first-order characterizations of the languages recognizable by finite automata, by Parikh automata, and by multi-counter machines over the alphabet $$\left\{ 0,1,...,k-1\right\} ^{n}$$ 0 , 1 , . . . , k - 1 n for some $$k\ge 2$$ k ≥ 2 . The set of k-FA-recognizable relations coincides with the set of relations, which are existentially definable in the structure "Image missing" , where "Image missing" corresponds to the bitwise minimum of base k. In order to obtain an existential first-order description of k-Parikh automata language
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Zhang, Jiangang, Xiang Pan, and Tianxu Lv. "Unsupervised MRI Images Denoising via Decoupled Expression." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_77.

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AbstractMagnetic Resonance Imaging (MRI) is widely adopted in medical diagnosis. Due to the spatial coding scheme, MRI image is degraded by various noise. Recently, massive methods have been applied to the MRI image denoising. However, they lack the consideration of artifacts in MRI images. In this paper, we propose an unsupervised MRI image denoising method called UEGAN based on decoupled expression. We decouple the content and noise in a noisy image using content encoders and noise encoders. We employ a noising branch to push the noise decoder only extract the noise. The cycle-consistency lo
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Zhuang, Xiahai, David J. Hawkes, and Sebastien Ourselin. "Spatial Information Encoded Mutual Information for Nonrigid Registration." In Biomedical Image Registration. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14366-3_22.

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Zöllei, Lilla, and William Wells. "Multi-modal Image Registration Using Dirichlet-Encoded Prior Information." In Biomedical Image Registration. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11784012_5.

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Fisher, Yuval, Frank Dudbridge, and Ben Bielefeld. "On the Dimension of Fractally Encoded Images." In Fractal Image Encoding and Analysis. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-03512-2_5.

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Conference papers on the topic "Image Encode"

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Rao, Sonu Kumar, Rahul Kumar, Naveen K. Nishchal, and Ayman Alfalou. "Optical image encryption using modified GS algorithm and DNA encoding." In Frontiers in Optics. Optica Publishing Group, 2024. https://doi.org/10.1364/fio.2024.jtu4a.51.

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Optical image encryption using modified GS algorithm and deoxyribonucleic acid (DNA) encoding is proposed. The scheme provides a novel way to encode optically encrypted data into DNA sequences and its transmission through optical vortex beam.
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Reale, Michael J., Jing Lin, and Arnold J. Zumbrun. "Encoded image latent space analysis." In Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications III, edited by Keith F. Prussing, Kimberly E. Manser, Celso De Melo, Raghuveer M. Rao, and Christopher L. Howell. SPIE, 2025. https://doi.org/10.1117/12.3053513.

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Hazer, Abdurrahman, and Remzi Yıldırım. "Color Video Compression and Encryption with Hybrid Method." In 3D Image Acquisition and Display: Technology, Perception and Applications. Optica Publishing Group, 2022. http://dx.doi.org/10.1364/3d.2022.jw5a.4.

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A method including intermodulation, diffractive encoding and transformation algorithms has been developed to encode the video with sound in a single plane. A video consisting of 3600 color images is successfully encoded into the plane.
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Abdelmalek, Mohamed, Anis Harhoura, Issam Elaloui, Mahdi Madani, and El-Bay Bourennane. "Visually Image Encryption based on Efficient Deep Learning Autoencoder." In 2nd International Conference on Education & Information Technology. Academy & Industry Research Collaboration Center, 2024. http://dx.doi.org/10.5121/csit.2024.141206.

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This paper proposes an Artificial Intelligence (AI) model based on Convolutional Neural Network (CNN) for visual image protection during encryption and decryption processes. We used the CIFAR-10 dataset containing 60.000 color images of size 32×32 across ten classes to train and test the proposed network. Our focus lies in designing a convolutional autoencoder for image compression and reconstruction, utilizing an encoder-decoder architecture. During training, the autoencoder learns to encode essential image features into a reduced-dimensional latent space and reconstructs the image from this
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J. AHMED, Zainab, and Loay E. GEORGE. "LIGHTWEIGHT IMAGE COMPRESSION USING POLYNOMIAL AND TRANSFORM CODING." In V. International Scientific Congress of Pure, Applied and Technological Sciences. Rimar Academy, 2022. http://dx.doi.org/10.47832/minarcongress5-16.

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This article implies a proposal for a lossy compression system using polynomial coding with color and gray images. The proposed system contains two main parts: coding and decoding. In the coding, each block of the image is represented as a twodimensional quadratic polynomial to prune the main low variation component to get better compression gain. The size of each image block is variable depending on quadtree partitioning. Then, the signal residue of the polynomial representation (i.e., the residue is the component produced due to subtraction of polynomial from the original image); then the po
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Lin, Jie, Zechao Li, and Jinhui Tang. "Discriminative Deep Hashing for Scalable Face Image Retrieval." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/315.

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With the explosive growth of images containing faces, scalable face image retrieval has attracted increasing attention. Due to the amazing effectiveness, deep hashing has become a popular hashing method recently. In this work, we propose a new Discriminative Deep Hashing (DDH) network to learn discriminative and compact hash codes for large-scale face image retrieval. The proposed network incorporates the end-to-end learning, the divide-and-encode module and the desired discrete code learning into a unified framework. Specifically, a network with a stack of convolution-pooling layers is propos
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Batisteli, João Pedro Oliveira, and Zenilton K. G. Patrocínio Jr. "Hierarchical Graph Neural Networks Based on Multi-Scale Image Representations." In Anais Estendidos da Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2024. https://doi.org/10.5753/sibgrapi.est.2024.31646.

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Image representation as graphs can enhance the understanding of image semantics and facilitate multi-scale image representation. However, existing methods often overlook the significance of the relationship between elements at each scale or fail to encode the hierarchical relationship between graph elements. To cope with that, we introduce four novel approaches for graph construction from images. These approaches utilize hierarchical image segmentation techniques to generate segmentations at multiple scales, and one of them incorporates edges to encode the relationships at each scale. Leveragi
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Garner, Harry, and Kok-Meng Lee. "Development of a Vision Based Orientation Sensor." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-2299.

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Abstract The development of a vision based orientation sensor for the measurement of the orientation of a spherical body is presented. A specially designed grid pattern used to encode absolute orientation information onto a spherical surface in terms of latitude and longitude angles is discussed. A novel algorithm for the analysis of images of this grid pattern based on tracking along the grid lines is also developed that is designed to overcome limitations of other traditional image analysis techniques in terms of speed and accuracy. A procedure for recovering the absolute orientation of a sp
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Avila Herrera, Eduardo Andres, Tim McCarhy, and John McDonald. "Triple Loss based Satellite Image Localisation for Aerial Platforms." In 24th Irish Machine Vision and Image Processing Conference. Irish Pattern Recognition and Classification Society, 2022. http://dx.doi.org/10.56541/pjfn5642.

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We present a vision-based technique for aerial platform localisation using satellite imagery. Our approach applies a modified VGG16 network in conjunction with a triplet loss to encode aerial views as discriminative scene embeddings. The platform is localised by comparing the encodding of its current view with a database of pre-encoded embeddings using a cosine similarity metric. Recent image-based localisation research has shown potential for such learned embeddings, however, to ensure reliable matching they require dense sampling of views of the environment, thereby limiting their operationa
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Li, Haipeng, and Feng Li. "Image Encode Method Based on IFS with Probabilities Applying in Image Retrieval." In 2013 Fourth Global Congress on Intelligent Systems (GCIS). IEEE, 2013. http://dx.doi.org/10.1109/gcis.2013.53.

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Reports on the topic "Image Encode"

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Harari, Ally R., Russell A. Jurenka, Ada Rafaeli, and Victoria Soroker. Evolution of resistance to mating disruption in the pink bollworm moth evidence and possible mechanism. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7598165.bard.

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t The pink bollworm, Pectinophoragossypiellais a key pest of cotton world-wide. In Israel mating disruption sex pheromone is used in all cotton fields and recent repeated outbreaks of the pest populations has suggested a change in the population sex pheromone characteristics. The research goals were to (1) determine the change in pheromone characteristic of PBW females after long experience to Mating Disruption (MD), (2) to test the male’s antennae response (EAG) to pheromone characteristics of laboratory, naive females, and of field collected, MD experienced females, (3) to analyse the biosyn
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Lee, W. S., Victor Alchanatis, and Asher Levi. Innovative yield mapping system using hyperspectral and thermal imaging for precision tree crop management. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7598158.bard.

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Original objectives and revisions – The original overall objective was to develop, test and validate a prototype yield mapping system for unit area to increase yield and profit for tree crops. Specific objectives were: (1) to develop a yield mapping system for a static situation, using hyperspectral and thermal imaging independently, (2) to integrate hyperspectral and thermal imaging for improved yield estimation by combining thermal images with hyperspectral images to improve fruit detection, and (3) to expand the system to a mobile platform for a stop-measure- and-go situation. There were no
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Patwa, B., P. L. St-Charles, G. Bellefleur, and B. Rousseau. Predictive models for first arrivals on seismic reflection data, Manitoba, New Brunswick, and Ontario. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329758.

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First arrivals are the primary waves picked and analyzed by seismologists to infer properties of the subsurface. Here we try to solve a problem in a small subsection of the seismic processing workflow: first break picking of seismic reflection data. We formulate this problem as an image segmentation task. Data is preprocessed, cleaned from outliers and extrapolated to make the training of deep learning models feasible. We use Fully Convolutional Networks (specifically UNets) to train initial models and explore their performance with losses, layer depths, and the number of classes. We propose t
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Djamai, N., R. A. Fernandes, L. Sun, F. Canisius, and G. Hong. Python version of Simplified Level 2 Prototype Processor for retrieving canopy biophysical variables from Sentinel-2 multispectral data. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/p8stuehwyc.

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La mission Sentinel-2 de Copernicus est conçue pour fournir des données pouvant être utilisées pour cartographier les variables biophysiques de la végétation a une échelle globale. Les estimations des variables biophysiques de la végétation ne sont pas encore produites de manière opérationnelle par le segment au sol de Sentinel-2. Plutôt, un algorithme de prédiction, appelé Simplified Level 2 Prototype Processor (SL2P), a été défini par l'Agence Spatiale Européenne. SL2P utilise deux réseaux neuronaux à rétropropagation, un pour estimer le variable biophysique de la végétation et l’autre pour
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Gruber, Verena, Ingrid Peignier, and Charlotte Dubuc. Pratiques et tactiques de vente des concessionnaires automobiles au Québec. CIRANO, 2023. http://dx.doi.org/10.54932/bryk4403.

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Le présent rapport s’inscrit dans la continuité d’une vaste étude débutée en 2020 qui a pour objectif de mieux comprendre la préférence croissante de la population canadienne pour les véhicules énergivores ainsi que les facteurs (politiques, économiques, sociaux, etc.) qui contribuent à l’augmentation des ventes de ce type de véhicules. Le CIRANO a déjà contribué à travers plusieurs rapports publiés depuis 2020 et plus récemment par le biais d’une analyse des motivations d’achat de camions légers au Québec (Gruber, Peignier et Pentcheva, 2023). Le présent rapport complète les connaissances sur
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