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The denoising of natural images corrupted by noise is a long established problem in signal or image processing. Noise is signal dependent and is difficult to be removed without impairing image details. Multi-resolution methods are based on image transformations that reduce image resolution and they are able to segment objects of different sizes depending on the chosen resolution. In this work the...
Digital video segmentation is an active area of research. Generally, the significances of this segmentation mask can be explained as follows: Firstly, the mask can be used for image examining, editing, compression, analysis and understanding. Secondly, the virtual reality system can use the panorama and mask to appear the virtual 3-D environment. So the research of such an efficient video segmentation...
TENT mapping PSO has been proposed with analysis of PSO's fundamental principles and performance, in combination with TENT mapping chaos optimization method's high optimization efficiency. The algorithm is applied in the two-dimensional entropy image segmentation, enhancing the search speed of the best threshold in the two-dimensional histogram space. Two-dimensional entropy segmentation based on...
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