Search Results - "Sharif, S. M. A."

MedDeblur: Medical Image Deblurring with Residual Dense Spatial-Asymmetric Attention by Sharif, S. M. A, Naqvi, Rizwan Ali, Mehmood, Zahid, Hussain, Jamil, Ali, Ahsan, Lee, Seung-Won

“…Medical image acquisition devices are susceptible to producing blurry images due to respiratory and patient movement. Despite having a notable impact on such…”
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Learning Medical Image Denoising with Deep Dynamic Residual Attention Network by Sharif, S M A, Naqvi, Rizwan Ali, Biswas, Mithun

“…Image denoising performs a prominent role in medical image analysis. In many cases, it can drastically accelerate the diagnostic process by enhancing the…”
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Deep color reconstruction for a sparse color sensor by Sharif, S M A, Jung, Yong Ju

“…Despite the advances in image sensors, mainstream RGB sensors are still struggling from low quantum efficiency due to the low sensitivity of the Bayer color…”
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Deep Perceptual Enhancement for Medical Image Analysis by Sharif, S. M. A., Naqvi, Rizwan Ali, Biswas, Mithun, Loh, Woong-Kee

“…Due to numerous hardware shortcomings, medical image acquisition devices are susceptible to producing low-quality (i.e., low contrast, inappropriate…”
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Two-Stage Deep Denoising With Self-Guided Noise Attention for Multimodal Medical Images by Sharif, S. M. A., Naqvi, Rizwan Ali, Loh, Woong-Kee

“…Medical image denoising is considered among the most challenging vision tasks. Despite the real-world implications, existing denoising methods have notable…”
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Earlobe crease (Frank's sign) and coronary heart disease by Chauhdary, W A, Rubel, A R, Bashir, A, Hla Aye, M T, Javed, N, Soe, Z N, Sharif, S M A, Mani, B I, Oomen, M, Chong, V H

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Osler–Weber–Rendu syndrome by Mani, B I, Rubel, A R, Chauhdary, W A, Bashir, A, Soe, Z N, Javed, N, Sharif, S M A, Hla Aye, M T, Chong, V H

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Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-bin Image Sensor by Sharif, S M A, Ali Naqvi, Rizwan, Biswas, Mithun

“…Pixel binning is considered one of the most prominent solutions to tackle the hardware limitation of smartphone cameras. Despite numerous advantages, such an…”
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NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results by Perez-Pellitero, Eduardo, Catley-Chandar, Sibi, Leonardis, Ales, Timofte, Radu, Wang, Xian, Li, Yong, Wang, Tao, Song, Fenglong, Liu, Zhen, Lin, Wenjie, Li, Xinpeng, Rao, Qing, Jiang, Ting, Han, Mingyan, Fan, Haoqiang, Sun, Jian, Liu, Shuaicheng, Chen, Xiangyu, Liu, Yihao, Zhang, Zhengwen, Qiao, Yu, Dong, Chao, Lyn Chee, Evelyn Yi, Shen, Shanlan, Duan, Yubo, Chen, Guannan, Sun, Mengdi, Gao, Yan, Zhang, Lijie, A, Akhil K, V, Jiji C, Sharif, S M A, Naqvi, Rizwan Ali, Biswas, Mithun, Kim, Sungjun, Xia, Chenjie, Zhao, Bowen, Ye, Zhangyu, Lu, Xiwen, Cao, Yanpeng, Yang, Jiangxin, Cao, Yanlong, S, Green Rosh K, Deepak Lomte, Sachin, Krishnan, Nikhil, Pawan Prasad, B H

“…This paper reviews the first challenge on high-dynamic range (HDR) imaging that was part of the New Trends in Image Restoration and Enhancement (NTIRE)…”
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A Two-stage Deep Network for High Dynamic Range Image Reconstruction by Sharif, S M A, Ali Naqvi, Rizwan, Biswas, Mithun, Kim, Sungjun

“…Mapping a single exposure low dynamic range (LDR) image into a high dynamic range (HDR) is considered among the most strenuous image to image translation tasks…”
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DarkDeblur: Learning single-shot image deblurring in low-light condition by Sharif, S.M.A., Naqvi, Rizwan Ali, Ali, Farman, Biswas, Mithun

“…Single-shot image deblurring in a low-light condition is known to be a profoundly challenging image translation task. This study tackles the limitations of the…”
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Learning Optimized Low-Light Image Enhancement for Edge Vision Tasks by Sharif, S M A, Myrzabekov, Azamat, Khujaev, Nodirkhuja, Tsoy, Roman, Kim, Seongwan, Lee, Jaeho

“…Low-light image enhancement (LLIE) has a significant role in edge vision applications (EVA). Despite its widespread practicability, the existing LLIE methods…”
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Dformer: Learning Efficient Image Restoration with Perceptual Guidance by Khudjaev, Nodirkhuja, Tsoy, Roman, Sharif, S M A, Myrzabekov, Azamat, Kim, Seongwan, Lee, Jaeho

“…Image restoration tasks incorporate widespread real-world application. Apart from its significant practicability, generic deep image restoration methods still…”
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SAGAN: Adversarial Spatial-asymmetric Attention for Noisy Nona-Bayer Reconstruction by Sharif, S M A, Naqvi, Rizwan Ali, Biswas, Mithun

“…Nona-Bayer colour filter array (CFA) pattern is considered one of the most viable alternatives to traditional Bayer patterns. Despite the substantial…”
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EdgeNet: A novel approach for Arabic numeral classification by Sharif, S. M. A, Mujtaba, Ghulam, Uddin, S. M. Nadim

“…Despite the importance of handwritten numeral classification, a robust and effective method for a widely used language like Arabic is still due. This study…”
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A hybrid deep model with HOG features for Bangla handwritten numeral classification by Sharif, S. M. A., Mohammed, Nabeel, Mansoor, Nafees, Momen, Sifat

“…Considering the practical significances, handwriting recognition is getting an intense interest to the research community. Through, several studies have been…”
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NTIRE 2024 Challenge on Blind Enhancement of Compressed Image: Methods and Results by Yang, Ren, Timofte, Radu, Li, Bingchen, Li, Xin, Guo, Mengxi, Zhao, Shijie, Zhang, Li, Chen, Zhibo, Zhang, Dongyang, Arora, Yash, Arora, Aditya, Chen, Yuanbin, Tang, Hui, Wang, Tao, Zhao, Longxuan, Chen, Bin, Tong, Tong, Mo, Qiao, Bao, Jingwei, Hao, Jinhua, Ding, Yukang, Li, Hantang, Sun, Ming, Zhou, Chao, Zhu, Shuyuan, Jin, Zhi, Wang, Wei, Zhan, Dandan, Wu, Jiawei, Wu, Jiahao, Tu, Luwei, An, Hongyu, Zhang, Xinfeng, Yeo, Woon-Ha, Oh, Wang-Taek, Kim, Young-Il, Ryu, Han-Cheol, Sun, Long, Zhen, Mingjun, Pan, Jinshan, Dong, Jiangxin, Tang, Jinhui, Du, Yapeng, Li, Ao, He, Ziyang, Luo, Lei, Zhu, Ce, Yao, Xin, Khowaja, Sunder Ali, Lee, IK Hyun, Lee, Jaeho, Kim, Seongwan, A, Sharif S M, Khujaev, Nodirkhuja, Tsoy, Roman

“…This paper reviews the Challenge on Blind Enhancement of Compressed Image at NTIRE 2024, which aims at enhancing the quality of JPEG images which are…”
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AIM 2022 Challenge on Instagram Filter Removal: Methods and Results by Kınlı, Furkan, Menteş, Sami, Özcan, Barış, Kıraç, Furkan, Timofte, Radu, Zuo, Yi, Wang, Zitao, Zhang, Xiaowen, Zhu, Yu, Li, Chenghua, Leng, Cong, Cheng, Jian, Liu, Shuai, Feng, Chaoyu, Bai, Furui, Wang, Xiaotao, Lei, Lei, Ma, Tianzhi, Gao, Zihan, He, Wenxin, Yeo, Woon-Ha, Oh, Wang-Taek, Kim, Young-Il, Ryu, Han-Cheol, He, Gang, Long, Shaoyi, Sharif, S. M. A, Naqvi, Rizwan Ali, Kim, Sungjun, Kim, Guisik, Lee, Seohyeon, Nathan, Sabari, Kansal, Priya

“…This paper introduces the methods and the results of AIM 2022 challenge on Instagram Filter Removal. Social media filters transform the images by consecutive…”
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Evil method: A deep CNN model for Bangla handwritten numeral classification by Sharif, S. M. A., Mahboob, Mahdin

“…In recent times, Convolutional Neural Networks (CNN) have proven their ability to classify a complex dataset like that of handwritten numerals. Though CNN does…”
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A comparison between hybrid models for classifying Bangla isolated basic characters by Sharif, S. M. A., Mahboob, Mahdin

“…Merging Histogram of Oriented Gradients (HoG) features with a typical Convolutional Neural Network (CNN) model demonstrates some improvements in Bangla…”
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