ISBN: 9786139587445 - novel approach for image denoising using hipi (5 resultados)

Taschenbuch. Condición: Neu. Novel Approach for Image Denoising using HIPI | Nidhi Sharma (u. a.) | Taschenbuch | 72 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139587445 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Noise Reduction and Optimize of Resources at each level of the supply chain is a hard optimization problem especially, where the knowledge base generated from large datasets. Digital Image Processing and Image Data Science are prime areas where optimization and noisy data sets problems are occurred due to mutation, the uncertainty of input, and versatility of nature. Noise Reduction Algorithm provides the modulate solution for optimization problems related to image processing industry. The proposed work (HIPID: Hadoop Image Processing Interface Denoising) in which MapReduce tasks work on In-Situ computations in which computations are moving towards the data which reduces the execution time of copying data again and again. The purposed work includes the study of distributed systems, noise reduction techniques in image processing to reduce the noise in images by an adaptive filter with the optimization. Further purposed approach applies to HIPI environment to analyze the execution time, PSNR and MSE of images, to achieve better PSNR for qualitative visual outputs. 72 pp. Englisch.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Noise Reduction and Optimize of Resources at each level of the supply chain is a hard optimization problem especially, where the knowledge base generated from large datasets. Digital Image Processing and Image Data Science are prime areas where optimization and noisy data sets problems are occurred due to mutation, the uncertainty of input, and versatility of nature. Noise Reduction Algorithm provides the modulate solution for optimization problems related to image processing industry. The proposed work (HIPID: Hadoop Image Processing Interface Denoising) in which MapReduce tasks work on In-Situ computations in which computations are moving towards the data which reduces the execution time of copying data again and again. The purposed work includes the study of distributed systems, noise reduction techniques in image processing to reduce the noise in images by an adaptive filter with the optimization. Further purposed approach applies to HIPI environment to analyze the execution time, PSNR and MSE of images, to achieve better PSNR for qualitative visual outputs.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sharma NidhiClearing GATE multiple time Prof. Nidhi Sharma is having great expertise in CSE subjects and have done good publications in Elsevier.Prof. Sachin Bagga is having experience of about 10 years and has done publications in I.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Noise Reduction and Optimize of Resources at each level of the supply chain is a hard optimization problem especially, where the knowledge base generated from large datasets. Digital Image Processing and Image Data Science are prime areas where optimization and noisy data sets problems are occurred due to mutation, the uncertainty of input, and versatility of nature. Noise Reduction Algorithm provides the modulate solution for optimization problems related to image processing industry. The proposed work (HIPID: Hadoop Image Processing Interface Denoising) in which MapReduce tasks work on In-Situ computations in which computations are moving towards the data which reduces the execution time of copying data again and again. The purposed work includes the study of distributed systems, noise reduction techniques in image processing to reduce the noise in images by an adaptive filter with the optimization. Further purposed approach applies to HIPI environment to analyze the execution time, PSNR and MSE of images, to achieve better PSNR for qualitative visual outputs.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.…