Academic literature on the topic 'Unsharp masking'

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Journal articles on the topic "Unsharp masking"

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Ye, Wei, and Kai-Kuang Ma. "Blurriness-Guided Unsharp Masking." IEEE Transactions on Image Processing 27, no. 9 (2018): 4465–77. http://dx.doi.org/10.1109/tip.2018.2838660.

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Ramponi, Giovanni. "Rational unsharp masking technique." Journal of Electronic Imaging 7, no. 2 (1998): 333. http://dx.doi.org/10.1117/1.482649.

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Tanaka, Go, Noriaki Suetake, and Eiji Uchino. "Image Enhancement Based on Nonlinear Smoothing and Sharpening for Noisy Images." Journal of Advanced Computational Intelligence and Intelligent Informatics 14, no. 2 (2010): 200–207. http://dx.doi.org/10.20965/jaciii.2010.p0200.

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The novel image enhancement approach we propose is based on blending the ε-filtering and a conventional unsharp masking. The proposed selective unsharp masking is especially effective in enhancing noisy images corrupted by Gaussian noise, as confirmed in image enhancement experiments.
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Singnoo, Jakkarin. "A Study of Unsharp Masking on HDR Visualization on low Dynamic Range Devices." Color and Imaging Conference 2020, no. 28 (2020): 351–55. http://dx.doi.org/10.2352/issn.2169-2629.2020.28.56.

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To visualize HDR contents on low dynamic range displays, a fast and efficient TMO is often preferred. One way to achieve this is to use a Global TMO. However, Global TMO often results in poor contrast tone-mapped images and often needs a postprocess that enhances the contrast, such as Unsharp Masking. This work illustrates that such Unsharp Masking can be directly integrated into several global TMOs, resulting in an alternative framework to apply the Unsharp Masking to the HDR visualization pipeline. The proposed framework is fast and delivers images with a proper contrast without the need for
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Guang Deng. "A Generalized Unsharp Masking Algorithm." IEEE Transactions on Image Processing 20, no. 5 (2011): 1249–61. http://dx.doi.org/10.1109/tip.2010.2092441.

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Panguluri, Sumanth Kumar, and Laavanya Mohan. "Discrete Wavelet Transform Based Image Fusion Using Unsharp Masking." Periodica Polytechnica Electrical Engineering and Computer Science 64, no. 2 (2019): 211–20. http://dx.doi.org/10.3311/ppee.14702.

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Nowadays the result of infrared and visible image fusion has been utilized in significant applications like military, surveillance, remote sensing and medical imaging applications. Discrete wavelet transform based image fusion using unsharp masking is presented. DWT is used for decomposing input images (infrared, visible). Approximation and detailed coefficients are generated. For improving contrast unsharp masking has been applied on approximation coefficients. Then for merging approximation coefficients produced after unsharp masking average fusion rule is used. The rule that is used for mer
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Guettler, R. D., J. R. Bellare, H. T. Davis, and L. E. Scriven. "Image enhancement and dynamic range control with unsharp masking." Proceedings, annual meeting, Electron Microscopy Society of America 45 (August 1987): 750–51. http://dx.doi.org/10.1017/s0424820100128067.

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Prints containing the maximum amount of micrograph detail are the objective of all microscopists. Due to the limited dynamic range of printing papers (Fig. 1), much darkroom time is spent in printing wide tonal-range micrographs that require contrast manipulation. We have applied the technique of unsharp masking to simplify contrast reduction and developed a process that yields significantly better results in a shorter time than the conventional method of dodging and burning. Spiegler and Juris's early works in unsharp masking have been applied by various researchers to aerial mapping, graphic
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Ogura, Katsuo. "A Large Number of Herbig-Haro Candidates Found by the Contrast Enhancement and Unsharp Masking Technique." International Astronomical Union Colloquium 148 (1995): 331–36. http://dx.doi.org/10.1017/s0252921100022132.

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AbstractAbout 1300, 60 and 70 Herbig-Haro candidates have been picked up in the Ori A/L1641, Ori B/L1630 and NGC 2264/Mon OBI regions, respectively, on deep Schmidt plates. The contrast enhancement and unsharp masking technique has been applied simultaneously. Unsharp masking applied to an objective-prism Schmidt plate for the Carina Nebula region has yielded the detection of 38 Hα emission stars, of which 13 are new findings.
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Zaytseva, Ekaterina V., Alina A. Kochneva, Evgenii V. Katuntsov, and Maria R. Kiba. "Unsharp masking for improved quality images taken in mines." Mining Industry Journal (Gornay Promishlennost), no. 3/2025 (July 7, 2025): 86–94. https://doi.org/10.30686/1609-9192-2025-3-86-94.

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Dispatchers in mines and mining areas receive information from CCTV cameras in real time. To enhance the quality of the images received and make the right decisions based on them, it is necessary to apply global methods of digital image processing in conditions of limited information availability. The article analyzes application of the unsharp masking method using a moving average filter with various apertures from 3 to 25. Histograms of the brightness distribution are given for the resulting video frames. The quantitative characteristics, i.e. the average brightness, Tenengrad values, sharpn
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Kim, Hak Gu, Dong Bok Lee, and Byung Cheol Song. "Adaptive Unsharp Masking using Bilateral Filter." Journal of the Institute of Electronics Engineers of Korea 49, no. 11 (2012): 56–63. http://dx.doi.org/10.5573/ieek.2012.49.11.056.

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Dissertations / Theses on the topic "Unsharp masking"

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Liu, Chia-Chin. "Image quality as a function of unsharp masking band center /." Online version of thesis, 1988. http://hdl.handle.net/1850/10420.

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Naser, Inam. "Rotated Polar Coordinate system, its Solid Vector Mathematical Operations, and 3-D Unsharp Masking and Gradient-Based Laplacian Spatial Filters of a Field of Vectors for Geometrical Edges Detection." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1592135647774656.

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Chang, Cheng-Yu, and 張正宇. "Satellite Image Fusion based on IHS Transformation and Unsharp Masking Method." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/75049204348011638778.

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碩士<br>國立中興大學<br>資訊科學與工程學系<br>104<br>The technique improvement makes a big progress in satellite imagery resolution. IKONOS and QuickBird satellite images can provide 1 meter and 0.6 meters of resolutions in panchromatic images (PAN image), and 2.8 to 4 meters of resolution in a low-resolution multispectral imaging(MS image), respectively. Although, the panchromatic image can provide landscape details, it still needs color information of multispectral images to improve the accuracy of object identification. Therefore, image fusion technology which combines panchromatic image and multispectral i
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Lin, Chun-Lin, and 林俊霖. "Modified Unsharp Masking Detection System Using Otsu Thresholding and Gray Code for Image Tampering Recognition." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/90844288704299915284.

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碩士<br>國立臺灣師範大學<br>電機工程學系<br>104<br>In recent years, the development of the wireless technologies is growing rapidly. People generally have more than one mobile device such as smart phones or tablet PCs. Therefore, taking a picture becomes a simple thing in our live. Due to the fact that digital image processing software is easy to use, the research of digital image forensics becomes popular in the world. In this study, we focus on Unsharp Masking (USM) detection. The proposed detecting system is based on Edge Perpendicular Binary Coding (EPBC). We use Otsu thresholding to enhance the performa
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Book chapters on the topic "Unsharp masking"

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Bilcu, Radu Ciprian, and Markku Vehvilainen. "Constrained Unsharp Masking for Image Enhancement." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69905-7_2.

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Rathore, Akansha Singh, Vikrant Bhateja, Akshita Shukla, and Alka Singh. "Morphological Operation-Based Unsharp Masking Filter." In Smart Intelligent Computing and Applications, Volume 2. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9705-0_30.

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Latib, Sk, Diksha Saha, and Chandan Giri. "Retinal Vessel Segmentation Using Unsharp Masking and Otsu Thresholding." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7834-2_13.

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Zhou, Lijian, Junwei Li, Xuemei Cui, and Yunjie Liu. "Fingerprint Enhancement Method Based on Wavelet and Unsharp Masking." In Advances in Neural Networks – ISNN 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31362-2_72.

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Cheikh, Faouzi Alaya, and Moncef Gabbouj. "Directional Unsharp Masking-Based Approach for Color Image Enhancement." In Noblesse Workshop on Non-Linear Model Based Image Analysis. Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1597-7_27.

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Shukla, Akshita, Vikrant Bhateja, Alka Singh, and Akansha Singh Rathore. "An Improved Unsharp Masking (UM) Filter with GL Mask." In Lecture Notes in Electrical Engineering. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8554-5_22.

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Bhateja, Vikrant, Mukul Misra, and Shabana Urooj. "Human Visual System Based Unsharp Masking for Enhancement of Mammograms." In Non-Linear Filters for Mammogram Enhancement. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0442-6_16.

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Ardizzone, Edoardo, Roberto Pirrone, and Orazio Gambino. "Frequency Determined Homomorphic Unsharp Masking Algorithm on Knee MR Images." In Image Analysis and Processing – ICIAP 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11553595_113.

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Draganov, Ivo, and Veska Gancheva. "Unsharp Masking with Local Adaptive Contrast Enhancement of Medical Images." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3880-0_37.

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Kumari, Y., N. V. Seshagiri Rao, A. Ramesh, and G. V. Ramanaiah. "Unsharp Masking-Based Image Enhancement of Nanodispersed 10O.O6 Liquid Crystal Compound." In Lecture Notes in Networks and Systems. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8204-7_3.

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Conference papers on the topic "Unsharp masking"

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Mishra, Shivam, Amit Vishwakarma, Ronak Vimal, and Anil Kumar. "Automated Nuclei Segmentation Using Shearlet Based Unsharp Masking." In 2025 10th International Conference on Signal Processing and Communication (ICSC). IEEE, 2025. https://doi.org/10.1109/icsc64553.2025.10969034.

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Ingle, Saguna, Amarsinh Vidhate, and Sangita Chaudhari. "Noise Removal for Mammogram Images Using Gaussian based Unsharp Masking." In 2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE, 2024. https://doi.org/10.1109/iccubea61740.2024.10774864.

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Ibadillah, Achmad Fiqhi, Adi Kumiawan Saputro, Monika Faswia Fahmi, Dian Neipa Pumamasari, and Hanifudin Sukri. "Dehazing System For Digital Haze Image With Unsharp Masking and Color Attenuation Prior." In 2024 IEEE 10th Information Technology International Seminar (ITIS). IEEE, 2024. https://doi.org/10.1109/itis64716.2024.10845408.

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Gusa, Rika Favoria, Risanuri Hidayat, and Hanung Adi Nugroho. "An Ultrasound Image Quality Improvement Approach Based on Non-Subsampled Shearlet Transform and Maximum Local Variation-Based Unsharp Masking." In 2024 5th International Conference on Biomedical Engineering (IBIOMED). IEEE, 2024. https://doi.org/10.1109/ibiomed62485.2024.10875811.

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Ngo, Dat, Seungmin Lee, and Bongsoon Kang. "Nonlinear Unsharp Masking Algorithm." In 2020 International Conference on Electronics, Information, and Communication (ICEIC). IEEE, 2020. http://dx.doi.org/10.1109/iceic49074.2020.9051376.

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Ye, Wei, and Kai-Kuang Ma. "Blurriness-guided unsharp masking." In 2017 IEEE International Conference on Image Processing (ICIP). IEEE, 2017. http://dx.doi.org/10.1109/icip.2017.8296987.

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Mohamed, S., R. Jyothi Priya, S. Gift Rojan, and S. Yaseer Arafath. "Particle swarm based unsharp masking." In the Seventh Indian Conference. ACM Press, 2010. http://dx.doi.org/10.1145/1924559.1924626.

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Orhei, Ciprian, Ismet Porobic, and Adrian Avram. "Constrained Adaptive Nonlinear Unsharp Masking." In 2024 47th International Conference on Telecommunications and Signal Processing (TSP). IEEE, 2024. http://dx.doi.org/10.1109/tsp63128.2024.10605938.

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Kim, Mansung, Sungsu Lee, and Gwanggil Jeon. "A New Filter-Based Unsharp Masking." In ASP 2014. Science & Engineering Research Support soCiety, 2014. http://dx.doi.org/10.14257/astl.2014.45.06.

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Ritschel, Tobias, Kaleigh Smith, Matthias Ihrke, Thorsten Grosch, Karol Myszkowski, and Hans-Peter Seidel. "3D unsharp masking for scene coherent enhancement." In ACM SIGGRAPH 2008 papers. ACM Press, 2008. http://dx.doi.org/10.1145/1399504.1360689.

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