Academic literature on the topic 'Lowlight Restored Image Quality'

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Journal articles on the topic "Lowlight Restored Image Quality"

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Refhiansyah, Anggie Irfhan, Didi Suhaedi, and Yurika Permanasari. "Penggunaan Topsis untuk Menentukan Exposure Terbaik pada Kamera yang Memiliki Sensor M4/3." Bandung Conference Series: Mathematics 1, no. 1 (2021): 1–6. http://dx.doi.org/10.29313/bcsm.v1i1.12.

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Abstract. Cameras that have small sensors such as Micro Four Thirds (M4/3) are experiencing increasing interest in the market today, this is due to the small and compact size of the camera. However, the weakness of cameras with small sensors is that the quality is not as good as those of cameras with larger sensors, especially in lowlight situations because the electronic noise (noise) increases at high ISOs, making it quite difficult to determine the best exposure in these situations. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is used to select the best
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Malyugina, Alexandra, Nantheera Anantrasirichai, and David Bull. "Wavelet-Based Topological Loss for Low-Light Image Denoising." Sensors 25, no. 7 (2025): 2047. https://doi.org/10.3390/s25072047.

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Despite significant advances in image denoising, most algorithms rely on supervised learning, with their performance largely dependent on the quality and diversity of training data. It is widely assumed that digital image distortions are caused by spatially invariant Additive White Gaussian Noise (AWGN). However, the analysis of real-world data suggests that this assumption is invalid. Therefore, this paper tackles image corruption by real noise, providing a framework to capture and utilise the underlying structural information of an image along with the spatial information conventionally used
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Nhu. "PARAMETRIC BLIND-DECONVOLUTION METHOD TO REMOVE IMAGE ARTIFACTS IN WAVEFRONT CODING IMAGING SYSTEMS." Journal of Military Science and Technology, no. 72A (May 10, 2021): 62–68. http://dx.doi.org/10.54939/1859-1043.j.mst.72a.2021.62-68.

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Wavefront coding technique includes a phase mask of asymmetric phase mask kind in the pupil plane to extend the depth of field of an imaging system and the digital processing step to obtain the restored final high-quality image. However, the main drawback of wavefront coding technique is image artifacts on the restored final images. In this paper, we proposed a parameter blind-deconvolution method based on maximizing of the variance of the histogram of restored final images that enables to obtain the restored final image with artifact-free over a large range of defocus.
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Sun, Guoxin, Xiong Yan, Huizhe Wang, et al. "Color restoration based on digital pathology image." PLOS ONE 18, no. 6 (2023): e0287704. http://dx.doi.org/10.1371/journal.pone.0287704.

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Objective Protective color restoration of faded digital pathology images based on color transfer algorithm. Methods Twenty fresh tissue samples of invasive breast cancer from the pathology department of Qingdao Central Hospital in 2021 were screened. After HE staining, HE stained sections were irradiated with sunlight to simulate natural fading, and every 7 days was a fading cycle, and a total of 8 cycles were experienced. At the end of each cycle, the sections were digitally scanned to retain clear images, and the color changes of the sections during the fading process were recorded. The colo
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Zhang, Hua, Yi Kai Shi, Kui Dong Huang, and Qing Chao Yu. "Image Restoration Method Based on Pre-Filtering for Cone-Beam Computed Tomography." Applied Mechanics and Materials 229-231 (November 2012): 1858–61. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.1858.

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For the problem of image quality degradation of cone-beam Computed Tomography (CBCT) based on flat panel detector (FPD), a constrained least squares iteration (CLSI) restoration method based on pre-filtering is proposed. Firstly, the original projected images are denoised with bilateral filtering algorithm. Then, the denoised projected images are restored with CLSI. Finally, the final restored images are obtained by adding the noise images, which got by subtracting the projected images before and after denoising, to the restored images. The experimental results show that the method well inhibi
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Xie, Wang, and Li. "A Fragile Watermark Scheme for Image Recovery Based on Singular Value Decomposition, Edge Detection and Median Filter." Applied Sciences 9, no. 15 (2019): 3020. http://dx.doi.org/10.3390/app9153020.

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Many fragile watermark methods have been proposed for image recovery and their performance has been greatly improved. However, jagged edges and confusion still exist in the restored areas and these problems need to be solved to achieve a better visual effect. In this paper, a method for improving recovery quality is proposed that adopts singular value decomposition (SVD) and edge detection for tamper detection and then uses a median filter for image recovery. Variable watermark information can be generated that corresponds to block classifications. With mapping and neighborhood adjustment, the
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Ozsahin, Dilber Uzun, Abubakar Adamu, Maryam Rabiu Aliyu, and Huzaifa Umar. "A modified Tseng algorithm approach to restoring thoracic diseases’ computerized tomography images." PLOS ONE 19, no. 7 (2024): e0305728. http://dx.doi.org/10.1371/journal.pone.0305728.

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It is well-known that the Tseng algorithm and its modifications have been successfully employed in approximating zeros of the sum of monotone operators. In this study, we restored various thoracic diseases’ computerized tomography (CT) images, which were degraded with a known blur function and additive noise, using a modified Tseng algorithm. The test images used in the study depict calcification of the Aorta, Subcutaneous Emphysema, Tortuous Aorta, Pneumomediastinum, and Pneumoperitoneum. Additionally, we employed well-known image restoration tools to enhance image quality and compared the qu
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Irshad, Muhammad, Camilo Sanchez-Ferreira, Sana Alamgeer, Carlos H. Llanos, and Mylène C. Q. Farias. "No-reference Image Quality Assessment of Underwater Images Using Multi-Scale Salient Local Binary Patterns." Electronic Imaging 2021, no. 9 (2021): 265–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.9.iqsp-265.

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Images acquired in underwater scenarios may contain severe distortions due to light absorption and scattering, color distortion, poor visibility, and contrast reduction. Because of these degradations, researchers have proposed several algorithms to restore or enhance underwater images. One way to assess these algorithms’ performance is to measure the quality of the restored/enhanced underwater images. Unfortunately, since reference (pristine) images are often not available, designing no-reference (blind) image quality metrics for this type of scenario is still a challenge. In fact, although th
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Lee, Jonghyeok, Hyunwoo Lim, Sanghyun Cho, Changwoo Seo, Bo Kyung Cha, and Hyosung Cho. "Analytic sparse-view CBCT reconstruction using a novel sinogram restoration method based on higher-order Fourier harmonic peaks." Journal of Instrumentation 19, no. 11 (2024): C11001. http://dx.doi.org/10.1088/1748-0221/19/11/c11001.

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Abstract This study presents an analytic sparse-view cone-beam computed tomography (CBCT) reconstruction method using a novel sinogram restoration technique based on higher-order Fourier harmonic peaks to obtain CBCT images of reasonable quality with a reduced radiation dose. The proposed method involves four main steps: (1) acquiring sparse-view (P144) sinogram from a CBCT system, (2) upsampling (P720) the original sparse-view sinogram with equally spaced zero padding, (3) separating higher-order Fourier harmonic peaks of the upsampled sinogram using a band-pass filter, and (4) restoring the
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Xu, Zijie, and Erfu Wang. "An Algorithm for Detecting and Restoring Tampered Images Using Chaotic Watermark Embedding." Electronics 13, no. 18 (2024): 3604. http://dx.doi.org/10.3390/electronics13183604.

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In recent years, the advancement of digital image processing technology and the proliferation of image editing software have reduced the technical barriers to digital image processing, enabling individuals without professional training to modify and edit images at their discretion. Consequently, the integrity and authenticity of the original image content assume greater significance. The current techniques for detecting tampering in watermark embedding are inadequate in terms of security, efficiency, and image restoration quality. In light of the aforementioned considerations, this paper puts
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Dissertations / Theses on the topic "Lowlight Restored Image Quality"

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Sogabe, Maina. "Restored interlaced volumetric imaging increases image quality and scanning speed during intravital imaging in living mice." Kyoto University, 2020. http://hdl.handle.net/2433/253212.

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Kannan, Vignesh. "Perceptual Quality Assessment of Lowlight Restored and Authentically Distorted Images." Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5792.

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The capability of hand-held devices to acquire high-definition visual content has led to a tremendous increase in the number of images and videos captured daily. However, camera hardware and pipelines are not perfect and lead to multiple distortions in the captured content. This makes quality assessment (QA) imperative to advance the qualitative capability of different devices and the pipelines used. More particularly, the aim of perceptual quality assessment is to quantitatively analyze the perceptual quality of the captured content with respect to the distortions observed by the human visua
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Book chapters on the topic "Lowlight Restored Image Quality"

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Razaz, M., and R. A. Lee. "Comparison of Iterative Deconvolution and Wiener Filtering for Image Restoration." In Image Processing: Mathematical Methods and Applications. Oxford University PressOxford, 1997. http://dx.doi.org/10.1093/oso/9780198511977.003.0006.

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Abstract Linear deconvolution techniques usually suffer from a number of short comings such as generation of negative pixel values and artefacts which lead to poor quality restored images. This paper discusses the application of a nonlinear iterative deconvolution algorithm to both synthetic and real images, and the results are compared with the Wiener inverse filter. Experimental res11lts are presented which show that the nonlinear algorithm always produces restored images with much better quality than the Wiener filter. In particular the Wiener filter shows poor performance when applied to images with a low signal-to-noise ratio.
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Razaz, M., R. A. Lee, and P. J. Shaw. "Restoration of 3D Real Images using Projection onto Convex Sets." In Image Processing: Mathematical Methods and Applications. Oxford University PressOxford, 1997. http://dx.doi.org/10.1093/oso/9780198511977.003.0005.

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Abstract The projection onto convex sets (POCS) is a powerful iterative approach for the solution of inverse problems. One can easily incorporate into this approach a variety of useful constraints for image restoration which would otherwise be difficult to implement using the traditional image restoration techniques. We present the application of POCS for restoration of 3D real images. The underlying principle of the method is discussed in detail, and optical microscopy images restored by this method are presented and analysed. It will be shown that POCS is a versatile image restoration method and can produce high quality 1estored images if an appropriate set of constraints are used.
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Xinping, Shang, and Wang Yi. "Underwater Image Enhancement Based on Multiscale Fusion." In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde240010.

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To improve the visibility and clarity of images in underwater environment, this paper proposes an underwater image enhancement method based on multi-scale fusion. Firstly, the white balance method is used to correct the color of the underwater image, and the original color of the underwater elements is restored as much as possible. Secondly, the dark channel prior algorithm is used to solve the underwater image blur problem. Then, the CLAHE algorithm is used to enhance the contrast of the image. Finally, using weight allocation or fusion rules, multi-scale information and multi-stage fusion of the image are used to generate the final enhanced underwater image. Quantitative image quality evaluation indexes PSNR, SSIM and UIQE are used to evaluate underwater image quality. The results show that the proposed method can effectively solve the problem of underwater image color deviation, make the color of the image more accurate and natural, improve the contrast and brightness of the underwater image, and have better visual effect and richer detail information.
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Sabelkin, Mike, and François Gagnon. "Data Transmission Oriented on the Object, Communication Media, Application, and State of Communication Systems." In Advancements and Innovations in Wireless Communications and Network Technologies. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2154-1.ch009.

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The proposed communication system architecture is called TOMAS, which stands for data Transmission oriented on the Object, communication Media, Application, and state of communication Systems. TOMAS could be considered a Cross-Layer Interface (CLI) proposal, since it refers to multiple layers of the Open Systems Interconnection Basic Reference Model (OSI). Given particular scenarios of image transmission over a wireless LOS channel, the wireless TOMAS system demonstrates superior performance compared to a JPEG2000+OFDM system in restored image quality parameters over a wide range of wireless channel parameters. A wireless TOMAS system provides progressive lossless image transmission under influence of moderate fading without any kind of channel coding and estimation. The TOMAS system employs a patent pending fast analysis/synthesis algorithm, which does not use any multiplications, and it uses three times less real additions than the one of JPEG2000+OFDM.
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R., Vishalakshi G., Gopala Krishna, and Hanumantha Raju. "Wavelet Energy-Based Adaptive Retinex Algorithm for Low Light Mobile Video Enhancement." In Advances in Systems Analysis, Software Engineering, and High Performance Computing. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-7524-9.ch002.

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In today's world, smartphones are ubiquitous and feature high-quality cameras and video recording capabilities. The camera shake, shadows, or other environmental factors lead to poor video, even in low-lighting situations with a high-end camera. To preserve and enhance low-light mobile video, a wavelet energy-based adaptive retinex algorithm is proposed. The first step in the method is to extract frames from the composite video before it is fed into the algorithm in HSV space. The authors then apply the wavelet energy-based adaptive retinex algorithm to the dynamic range-extended value channel. Lighting conditions that cause video degradation are restored adaptively to their natural brightness. A color restoration technique that improves the conventional retinex method fixes the gray world violation problem. Wavelet energy is used as a metric in concurrence with the retinex algorithm to objectively validate image enhancement quality. An experimental work of more than 300 still images and videos show that the proposed technique outperforms the current state of the art.
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Christensen, Thomas C. "Confessions of a film restorer." In The Translation of Films, 1900-1950. British Academy, 2019. http://dx.doi.org/10.5871/bacad/9780197266434.003.0006.

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When restoring a film, the aim is naturally always to provide the definitive version. However, many factors make this an impossible mission. This chapter draws on actual film archival practice and theory, exposing a minefield of obstacles facing any academic study trying to examine film history based on restored works. The focus is on silent cinema restoration, intertitles, and translation issues. Using Mark-Paul Meyer and Paul Read’s categories—from a one-to-one duplication to the creation of an altogether new work—the aim is to give an insight into the complexity of silent film restoration and the practical, and sometimes very unacademic, nature of the actual restoration work. The fact that most film restorations typically concentrate on image quality rather than titles, which are often merely supposed to support the visual action, adds to the complexity of transparency about the provenance of the filmic titles as an object of study.
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Conference papers on the topic "Lowlight Restored Image Quality"

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Yongjuan Pan and Jin Wang. "Embedded lowlight image quality measure." In 2012 IEEE 3rd International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2012. http://dx.doi.org/10.1109/icsess.2012.6269463.

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Lei, Yin, Di Xiaoguang, Fu Shaowen, Gao Lei, and Ma Jie. "Image blind restoration based on blur identification and quality assessment of restored image." In 2015 34th Chinese Control Conference (CCC). IEEE, 2015. http://dx.doi.org/10.1109/chicc.2015.7260364.

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Yang, Shiduo, Fayez Al-Mutairi, Tianhua Zhang, et al. "An Innovated Image-Based Approach for Logging-While-Drilling Image Quality Improvement in Stick and Slip Phase." In IADC/SPE Asia Pacific Drilling Technology Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/209913-ms.

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Abstract Stick/slip motion is an extremely severe torsional oscillation that can cause the drill bit to come to a complete stop and then followed by an extra acceleration of the surface rotation. Due to the lack of downhole sensors for direct speed measurement of logging-while-drilling (LWD) image tools, the depth measured on the surface can appear to be smoother than the downhole sensors’ real movement. Using the smoothed surface depth for time-to-depth gating of the images might lead to the formation features appearing to be compressed or stretched semicyclically in the depth domain when sen
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Jeon, Hyung Wook, Yim Kul Lee, and Jung Young Son. "Effects of system parameters on image transmission through fiber using self-pumped phase conjugation." In OSA Annual Meeting. Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.turr3.

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Optical fiber image transmission using a barium titanate crystal for self-pumped phase conjugation is presented.1 An input object, the letter "K," illuminated by a collimated argon-ion laser beam (514.5 nm), is focused into a multimode fiber (50 μm core and step index mode) and then phase conjugated in the crystal. The phase conjugated image retraverses the same fiber to compensate for the modal dispersion of the fiber. For a given experimental setup, an optimum image quality was obtained qualitatively at f = 75.6 mm in the range of 60 mm to 200 mm. As f increased, the restored K was gradually
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Liu, Y., J. Zhou, J. Zhang, P. Li, and Y. Zhou. "Full Borehole Image Data Computation Using GAN Based Model." In International Petroleum Technology Conference. IPTC, 2025. https://doi.org/10.2523/iptc-24957-ea.

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Abstract In logging interpretation, electrical image data is used to identify important geological features such as fissures and cavities, providing crucial information for evaluating productivity. Therefore, obtaining high-quality, fully restored electrical image data is essential for both manual and AI-based image interpretation methods. However, traditional image processing algorithms often produce restored data with poor correlation between geological features across plates, as well as noise and jagged edges. To address this issue, we propose a reliable method for filling in missing sectio
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Leng, Zhiying, and Zhentao Wang. "An Image Quality Improvement Method Based on Neural Network for Digital Radiography Security Inspection System." In 2020 International Conference on Nuclear Engineering collocated with the ASME 2020 Power Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/icone2020-16344.

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Abstract As an essential method for security inspection in nuclear facilities, digital radiography has the ability to find hidden contraband efficiently. However, the images obtained by current scanning digital radiography system can be degraded by several factors, such as statistical noise and response time of detectors. At high scanning speed, the statistical noise and vibration of the system deteriorates the quality of images. In addition, the reduction of image quality will influence the accuracy of image observation and recognition. To meet the demand of detection efficiency and quality,
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Lu, Yao, Bo Jiang, Guangming Lu, and Bob Zhang. "Implicit Prompt Learning for Image Denoising." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/517.

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Recently, various deep denoising methods have been proposed to solve the insufficient feature problem in image denoising. These methods can be mainly classified into two categories: (1) Injecting learnable tensors into denoising backbone to supplement feature, which is effective to some extent but may cause serious over-fitting. (2) Using diverse natural images from large image datasets to synthesize noisy images and pre-train denoising models, which can bring model generalization but require large model size and expensive training costs. To address these issues, this paper proposes Implicit P
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Ye, Hang, Chi Zhou, and Wenyao Xu. "Image Based Slicing and Tool Path Planning for Hybrid Stereolithography Additive Manufacturing." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60245.

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Hybrid stereolithograpgy (SLA) process synthesizes the laser scanning based SLA system and mask projection based SLA system. It adopts laser as the energy source for scanning the border of a 2D pattern, whereas a mask image is used to solidify the interior area. By integrating the merits of the two subsystems, the hybrid SLA process can achieve relatively high surface quality without sacrificing the productivity. For the hybrid system, closed polygon contours are required to direct laser scanning, and a binary image is also needed for mask projection. We proposed a novel image based slicing me
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Qidwai, Uvais, and Chi-Hau Chen. "Blind Image Restoration for Ultrasonic C-Scan Using Constrained 4th Order Cumulants." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/nde-25812.

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Abstract C-Scans are ways to visualize the sample under study by utilizing the reflections from various levels of non-homogenous wave transfer within the sample. Unlike other imaging techniques, C-scan are usually constructed from the pulse-echoed A-Scans by mapping the 1D windowed signal into a point corresponding to a pixel on the C-scan by calculating its energy within the window. Hence, although the A-scans are predominantly Gaussian in nature, the spatial 1D waveforms mapping into spatial energy values, results in completely unpredictable statistical characteristics. Also, the medium char
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Li, Zelin, Dan Zeng, Xiao Yan, Qiaomu Shen, and Bo Tang. "Analyzing and Combating Attribute Bias for Face Restoration." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/128.

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Face restoration (FR) recovers high resolution (HR) faces from low resolution (LR) faces and is challenging due to its ill-posed nature. With years of development, existing methods can produce quality HR faces with realistic details. However, we observe that key facial attributes (e.g., age and gender) of the restored faces could be dramatically different from the LR faces and call this phenomenon attribute bias, which is fatal when using FR for applications such as surveillance and security. Thus, we argue that FR should consider not only image quality as in existing works but also attribute
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