Geometrical Image Filtering with Connected Operators and Image Inpainting
نویسندگان
چکیده
This paper deals with the joint use of connected operators and image inpainting for image filtering. Connected operators filter the image by merging its flat zones while preserving contour information. Image inpainting restores the values of an image for a destroyed or consciously masked subregion of the image domain. In the present paper, it will be shown that image inpainting can be combined with connected operators to perform an efficient geometrical filtering technique. First, connected operators are presented and their drawbacks for certain applications are highlighted. Second, image inpainting methodology is introduced and a structural image inpainting algorithm is described. Finally, a general filtering scheme is proposed to show how the drawbacks of connected operators can be efficiently solved by structural image inpainting.
منابع مشابه
فشرده‌سازی تصویر با کمک حذف و کدگذاری هوشمندانه اطلاعات تصویر و بازسازی آن با استفاده از الگوریتم های ترمیم تصویر
Compression can be done by lossy or lossless methods. The lossy methods have been used more widely than the lossless compression. Although, many methods for image compression have been proposed yet, the methods using intelligent skipping proper to the visual models has not been considered in the literature. Image inpainting refers to the application of sophisticated algorithms to replace lost o...
متن کاملImproving Exemplar-based Image Completion methods using Selecting the Optimal Patch
Image completion is one of the subjects in image and video processing which deals with restoration of and filling in damaged regions of images using correct regions. Exemplar-based image completion methods give more pleasant results than pixel-based approaches. In this paper, a new algorithm is proposed to find the most suitable patch in order to fill in the damaged parts. This patch selection ...
متن کاملترمیم تصاویر رنگی با نواحی مخدوش بزرگ براساس تجزیه تصویر به مولفه های بافت و ساختار
In this paper a new inpainting scheme applicable to images with wide missed regions is presented. The proposed method is based on a new modification of the well known geodesic path image inpainting algorithm. Furthermore, to achieve a high-quality inpainting preserving details and textures, the image is decomposed firstly into texture and structure sub-images. Then, each sub-image is conc...
متن کاملExistence of Minimizers of the Mumford-shah Functional with Singular Operators in Two Space Dimensions
We consider the regularization of inverse problems involving certain local (differential) and nonlocal (integral) operators, by means of the minimization of a functional formed by a term of discrepancy to data and a Mumford-Shah functional term. We are partially inspired by classical linear inverse problems in image processing, namely inpainting and deblurring. We provide existence results of m...
متن کاملImage Restoration by Variable Splitting based on Total Variant Regularizer
The aim of image restoration is to obtain a higher quality desired image from a degraded image. In this strategy, an image inpainting method fills the degraded or lost area of the image by appropriate information. This is performed in such a way so that the obtained image is undistinguishable for a casual person who is unfamiliar with the original image. In this paper, different images are degr...
متن کامل