There are many existing image inpainting algorithms in which the repaired area should be manually determined by users. Aiming at this drawback of the traditional image inpainting algorithms, this paper proposes an automatic image inpainting algorithm which automatically identifies the repaired area by fuzzy C-mean (FCM) algorithm. FCM algorithm classifies the image pixels into a number of categ...

Image inpainting was historically done manually by painters for removing defect from paintings and photographs. Fill the region of missing information from a signal using surrounding information and re-form signal is the basic work of inpainting algorithms. Here in this paper we have studied and reviewed many different algorithms present for doing image inpainting and explain their approach. We...

 This work was supported by the NSFC-Guangdong Joint Foundation Key Project (Grant No. U1135003), the National Natural Science Foundation of China (Grant No.60773043, 61070227) and the Foundation for Key Program of Ministry of Education of China (No. 309017). Abstract – Exemplar-based image inpainting techniques face two main problems. One is the decision of filling-in order which has a strong...

Inpainting methods play a vital role in various applications such as object removal, scratch removal, Image restoration. The filling-in missing region in an image is called image Inpainting. Time to time different algorithms came into existence for Inpainting missing region of an image. This paper introduces a novel framework for examplar based Inpainting. This paper presents a novel combinatio...

Image Inpainting is the process of filling in missing regions in an image. The objective of inpainting is to reconstruct the missing regions in a visually plausible way. Several algorithms are available in the literature for the same. Many researchers have proposed a large variety of exemplar based image inpainting algorithms to restore the structure and texture of damaged images. In this paper...

Image inpainting refers to the set of techniques which include filling-in of missing area (known as holes) in a picture such that modifications made to the picture are unnoticeable. The algorithms for image inpainting that are proposed in the literature are rooted on the concept to fill-in the holes by means of available information in the surroundings. This information can be automatically det...

Inpainting is the technique of modifying an image in an imperceptible form, is a very old fine art itself. The goals and applications of inpainting are frequent from the restoration of damaged paintings and image photographs to the removal or replacement of selected objects. Image Inpainting is the ability of filling in misplaced data in an image. The principle of inpainting is to restructure m...

Image inpainting technique is that repairs damaged area or remove areas in an image. In order to deal with this kind of problems, not only a robust image inpainting algorithm should be used, technique of structure generation is also needs to adopt in inpainting procedure. In this paper, we extend an exemplar-based image inpainting method by incorporating Bézier curves to construct missing edge ...

In this paper, we introduce fractional calculus into image inpainting and propose a new class of fractional-order variational image inpainting models, in both space and wavelet domains, inspired by the works of Bai and Feng. The corresponding Euler-Lagrange equations are given and proper numerical algorithm is analyzed. According to the simulations on several testing images, our algorithm demon...