Image Processing is widely used in many fields such as medical imaging, scanning techniques, printing skills, license plate recognition, face recognition and so on. Images are often corrupted by impulse noise during image acquisition and transmission. The noise may seriously affect the performance of image processing techniques. Impulse noise can be classified into two categories: Fixed valued impulse (Salt-and-Pepper) noise and Random-valued impulse noise. In fixed valued impulse noise the values are either 0 or 255 for gray scale images. In random - valued impulse noise the values are between 0 and 255 for gray scale images. In this project removal of salt-and-pepper noise from the corrupted image is focused. For this an efficient denoising scheme and a low cost, a low- complexity VLSI architecture is proposed. The technique Average Median Decision- Tree-Based Denoising Method (AMDTBDM) consists of an impulse noise detector to detect the noisy pixels, and an average median filter to reconstruct the intensity values of noisy pixels
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Uvaraj SubhashiniSubhashini Uvaraj and Arthi Rangaraj are currently working as Assistant Professors in KIT-Kalaignarkarunanidhi Institute of Technology,Coimbatore-India.They are versatile in teaching for both UG & PG, did their Bache. Codice articolo 385886731
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Taschenbuch. Condizione: Neu. VLSI Architecture for Removing Impulse Noise in Images | Denoising Techniques | Subhashini Uvaraj (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9786200265708 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 117440362
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