Image Denoising Using Anisotropic Diffusion Equations on Reflection and illumination Components of Image
نویسندگان
چکیده مقاله:
This paper proposes a new hybrid method based on Homomorphic filtering and anisotropicdiffusion equations for image denoising. In this method, the Homomorphic filtering extracts the reflectionand illumination components of a noisy image. Then a suitable image denoising method based onanisotropic diffusion is applied to each components with its special user-defined parameters .This hybridscheme donates a flexibility and customizability to the method, due to its ability to separately enhanceeach component properly. In order to evaluate the proposed method effectiveness, a number ofexperiments have been performed and the results have been compared with the results of other pioneeringmethods. The good results indicate superiority of proposed method.
منابع مشابه
Image Denoising Using Wavelet Embedded Anisotropic Diffusion (wead)
In this paper a PDE based hybrid method for image denoising is introduced. The method is a bi-stage filter with anisotropic diffusion followed by wavelet based bayesian shrinkage. Here efficient denoising is achieved by reducing the convergence time of anisotropic diffusion. As the convergence time decreases, image blurring can be restricted and will produce a better denoised image than anisotr...
متن کاملAdaptive Anisotropic Diffusion for Ultrasonic Image Denoising and Edge Enhancement
Utilizing echoic intension and distribution from different organs and local details of human body, ultrasonic image can catch important medical pathological changes, which unfortunately may be affected by ultrasonic speckle noise. A feature preserving ultrasonic image denoising and edge enhancement scheme is put forth, which includes two terms: anisotropic diffusion and edge enhancement, contro...
متن کاملImage denoising assessment using anisotropic stack filtering
In this paper we propose a measure of anisotropy as a quality parameter to estimate the amount of noise in noisy images. The anisotropy of an image can be determined through a directional measure, using an appropriate statistical distribution of the information contained in the image. This new measure is achieved through a stack filtering paradigm. First, we define a local directional entropy, ...
متن کاملHybrid regularizers-based adaptive anisotropic diffusion for image denoising
To eliminate the staircasing effect for total variation filter and synchronously avoid the edges blurring for fourth-order PDE filter, a hybrid regularizers-based adaptive anisotropic diffusion is proposed for image denoising. In the proposed model, the [Formula: see text]-norm is considered as the fidelity term and the regularization term is composed of a total variation regularization and a f...
متن کاملEdge preserving image enhancement using anisotropic diffusion
Enhancing an image in such a way that maintains image edges is a difficult problem. Many current methods for image enhancement either smooth edges on a small scale while improving contrast on a global scale or enhance edges on a large scale while amplifying noise on a small scale. One method which has been proposed for overcoming this is anisotropic diffusion, which views each image pixel as an...
متن کاملA Model of Image Denoising Based on the Fusion of Anisotropic Diffusion and Total Variation Models*
In this paper, a new denoising technique for images corrupted with additive salt and pepper noise and white Gaussian noise is proposed. The technique used here is to combine the anisotropic diffusion (PM) model and total variation (TV) model. The new technique utilizes both advantages of PM model and TV model, while avoiding the disadvantages of both of them. To evaluate our algorithm several e...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ذخیره در منابع من قبلا به منابع من ذحیره شده{@ msg_add @}
عنوان ژورنال
دوره 27 شماره 9
صفحات 1339- 1348
تاریخ انتشار 2014-09-01
با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023