A Hybrid Algorithm With Artifact Detection Mechanism for Region Filling After Object Removal From a Digital Photograph

2007 ◽  
Vol 16 (6) ◽  
pp. 1611-1622 ◽  
Author(s):  
Han-Jen Hsu ◽  
Jhing-Fa Wang ◽  
Shang-Chia Liao
Keyword(s):  
Hybrid Algorithm ◽  
Detection Mechanism ◽  
Artifact Detection ◽  
Digital Photograph ◽  
Object Removal ◽  
Region Filling

Object Removal and Region Filling in Image

2016 ◽  
Author(s):  
Pankaj Bhaurao Bagal ◽  
Ravi Kateeyare
Keyword(s):  
Object Removal ◽  
Region Filling

Patch-Based Inpainting for Object Removal and Region Filling in Images

2013 ◽  
Vol 22 (3) ◽  
pp. 335-350 ◽  
Author(s):  
Rajesh Pandurang Borole ◽  
Sanjiv Vedu Bonde
Keyword(s):  
Texture Synthesis ◽  
Target Region ◽  
New Approach ◽  
Structure Information ◽  
The Core ◽  
Search Area ◽  
Object Removal ◽  
Execution Speed ◽  
Small Cracks ◽  
Region Filling

AbstractA large number of articles have been devoted to the application of “texture synthesis” for large regions and “inpainting” algorithms for small cracks in an image. A new approach that allows the simultaneous filling in of different structures and textures is discussed in this present study. The combination of structure inpainting and patch-based texture synthesis carried out (termed as “patch-based inpainting”) for filling and updating the target region shows additional advantages over earlier approaches. The algorithm discussed here uses the patch-based inpainting with isophote-driven patch-based texture synthesis at the core. In this algorithm, once the user selects the regions to be restored, the algorithm automatically searches and fills in these regions with the best matching information surrounding them. We have assigned high priorities to the pixels on the boundary and the structure by computing data terms D(p), and the texture and corners are prioritized by computing the confidence C(p) of the pixel. We also regularized and weighted the confidence of the pixels, RC(p), to achieve a balance of the two. The patch search area near the pixel patch to be filled is bounded for algorithm speed improvement. Patch-based filling significantly improve execution speed compared with pixel-based filling. Filling in is done in such a way that the structure information arriving at the region boundaries is propagated inside. A number of examples on real and synthetic images are used to demonstrate the effectiveness of the algorithm. Robustness with respect to the shape of the selected target region is also demonstrated.

Region Filling and Object Removal by Exemplar-Based Image Inpainting

2004 ◽  
Vol 13 (9) ◽  
pp. 1200-1212 ◽  
Author(s):  
A. Criminisi ◽  
P. Perez ◽  
K. Toyama
Keyword(s):  
Image Inpainting ◽  
Object Removal ◽  
Region Filling

HULK and DDoS Attacks in Web Applications with Detection Mechanism

2018 ◽  
Vol 6 (6) ◽  
pp. 192
Author(s):  
Amit Sharma
Keyword(s):  
Web Applications ◽  
Denial Of Service ◽  
Single Server ◽  
Distributed Denial Of Service ◽  
Ddos Attacks ◽  
Application Layer ◽  
Detection Mechanism ◽  
Plan Execution ◽  
Social Affair ◽  
Server Application

Distributed Denial of Service attacks are significant dangers these days over web applications and web administrations. These assaults pushing ahead towards application layer to procure furthermore, squander most extreme CPU cycles. By asking for assets from web benefits in gigantic sum utilizing quick fire of solicitations, assailant robotized programs use all the capacity of handling of single server application or circulated environment application. The periods of the plan execution is client conduct checking and identification. In to beginning with stage by social affair the data of client conduct and computing individual user’s trust score will happen and Entropy of a similar client will be ascertained. HTTP Unbearable Load King (HULK) attacks are also evaluated. In light of first stage, in recognition stage, variety in entropy will be watched and malevolent clients will be recognized. Rate limiter is additionally acquainted with stop or downsize serving the noxious clients. This paper introduces the FAÇADE layer for discovery also, hindering the unapproved client from assaulting the framework.

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