نتایج جستجو برای: curvelet transform
تعداد نتایج: 115190 فیلتر نتایج به سال:
This paper presents discrete curvelet transform (DCvT) based block level handwritten script
BACKGROUND AND AIM Merging multimodal images is a useful tool for accurate and efficient diagnosis and analysis in medical applications. The acquired data are a high-quality fused image that contains more information than an individual image. In this paper, we focus on the fusion of MRI gray scale images and PET color images. METHODS For the fusion of MRI gray scale images and PET color image...
the fusion of medical images is very useful for clinical application. generally, the pet image indicates the function of tissue and the mri image shows the anatomy of tissue. in this article we fused mri and pet images and the purpose is adding structural information from mri to pet image. the images decomposed with curvelet transform, and then two images fused with applying fusion rules. we us...
Resolution enhancement(RE) methods that are independent of wavelets i.e. interpolation methods leads to blurring as high frequency components are lost.RE scheme based on Discrete wavelet transform(DWT) leads to artifacts due to shift variant property. A complex wavelet-domain image resolution enhancement algorithm based on dual-tree complex wavelet transform (DT-CWT) with non local means(NLM) a...
0167-8655/$ see front matter 2009 Elsevier B.V. A doi:10.1016/j.patrec.2009.10.018 * Corresponding author. Address: School of Aero Beijing 100084, China. Tel.: +86 10 62781824. E-mail address: [email protected] (J. Ma). Curvelet transform is a multiscale and multidirectional geometric wavelet transform, which is an optimal sparse representation of edges and contours of objects. In this paper,...
SURE-LET Approach is used for reducing or removing noise in brain Magnetic Resonance Images (MRI). Removing or reducing noise is an active research area in image processing. Rician noise is the dominant noise in MRIs. Due to this type of noise, the abnormal tissue (cancerous tissue) may be misclassified as normal tissue and introduces bias into MRI measurements that can have significant impact ...
Counting people and estimating their densities over a certain area is a fundamental task for many artificial intelligence systems. In this study, sub-difference images of curvelet transform are postulated as an efficient source for effective crowd estimation features. The new algorithm is described in detail in the form of a case study conducted at the Holy Haram in Madinah. The application of ...
Seismic data recovery from data with missing traces on otherwise regular acquisition grids forms a crucial step in the seismic processing flow. For instance, unsuccessful recovery leads to imaging artifacts and to erroneous predictions for the multiples, adversely affecting the performance of multiple elimination. A non-parametric transform-based recovery method is presented that exploits the c...
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