International Journal of Engineering In Advanced Research Science and Technology ISSN: 2278-256
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چکیده
The main objective of this project is to design an efficient architecture for removal of random-valued impulse noise from captured image. A good image de-noising model property is that, it will remove noise while preserving edges. The decision-tree-based denoising method (DTBDM) is the proposed methodology for this project. It consists of decision tree based impulse detector, to detect the noisy pixel and employs an effective design and to locate the edge by an edge preserving filter to reconstruct the intensity values of noisy pixels. The proposed technique can obtain better performance in terms of both qualitative and visual quality than the previous low complexity denoising methods. Further, this project is enhanced using carry select adder in order to improve execution time. Here, serial adder is replaced with CSA to reduce computational time.
منابع مشابه
International Journal of Engineering In Advanced Research Science and Technology ISSN: 2278-256
The main objective of this project is to design a low power and reusable FM0/Manchester encoder for DSRC applications. Fully reused VLSI architecture using (similarity-oriented logic simplification) SOLS technique for both FM0 and Manchester encodings are proposed. Dedicated short-range communication is one-way or twoway short-range to medium-range wireless communication channels specifically d...
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