Օբյեկտ

Վերնագիր: Robust digital image inpainting algorithm in the wireless environment

Հեղինակ:

Karapetyan Gevorg

Տեսակ:

Article

Համահեղինակ(ներ):

Sarukhanyan Hakob ; Agaian Sos

Ամփոփում:

Image or video inpainting is the process/art of retrieving missing portions of an image without introducing undesirable artifacts that are undetectable by an ordinary observer. An image/video can be damaged due to a variety of factors, such as deterioration due to scratches, laser dazzling effects, wear and tear, dust spots, loss of data when transmitted through a channel, etc. Applications of inpainting include image restoration (removing laser dazzling effects, dust spots, date, text, time, etc.), image synthesis (texture synthesis), completing panoramas, image coding, wireless transmission (recovery of the missing blocks), digital culture protection, image de-noising, fingerprint recognition, and film special effects and production. Most inpainting methods can be classified in two key groups: global and local methods. Global methods are used for generating large image regions from samples while local methods are used for filling in small image gaps. Each method has its own advantages and limitations. For example, the global inpainting methods perform well on textured image retrieval, whereas the classical local methods perform poorly. In addition, some of the techniques are computationally intensive; exceeding the capabilities of most currently used mobile devices. In general, the inpainting algorithms are not suitable for the wireless environment. This paper presents a new and efficient scheme that combines the advantages of both local and global methods into a single algorithm. Particularly, it introduces a blind inpainting model to solve the above problems by adaptively selecting support area for the inpainting scheme. The proposed method is applied to various challenging image restoration tasks, including recovering old photos, recovering missing data on real and synthetic images, and recovering the specular reflections in endoscopic images. A number of computer simulations demonstrate the effectiveness of our scheme and also illustrate the main properties and implementation steps of the presented algorithm. Furthermore, the simulation results show that the presented method is among the state-of-the-art and compares favorably against many available methods in the wireless environment. Robustness in the wireless environment with respect to the shape of the manually selected “marked” region is also illustrated. Currently, we are working on the expansion of this work to video and 3-D data.

Հրատարակման ամսաթիվ:

22.05.2014

Նույնականացուցիչ:

oai:noad.sci.am:136117

DOI:

10.1117/12.2049942

ISSN:

0277-786X

Լեզու:

English

Ամսագրի կամ հրապարակման վերնագիր:

Proceedings of SPIE - The International Society for Optical Engineering

Հատոր:

9120

URL:


Կազմակերպության անվանում:

Institute for Informatics and Automation Problems ; The Univеrsity of Texas at San Antonio

Երկիր:

Armenia ; US

Ինդեքսավորում:

Scopus

Օբյեկտի հավաքածուներ:

Վերջին անգամ ձևափոխված:

Apr 19, 2021

Մեր գրադարանում է սկսած:

Apr 19, 2021

Օբյեկտի բովանդակության հարվածների քանակ:

8

Օբյեկտի բոլոր հասանելի տարբերակները:

https://noad.sci.am/publication/149418

Ցույց տալ նկարագրությունը RDF ձևաչափով:

RDF

Ցույց տալ նկարագրությունը OAI-PMH ձևաչափով։

OAI-PMH

Հրատարակության անուն Ամսաթիվ
G. Karapetyan, Robust digital image inpainting algorithm in the wireless environment Apr 19, 2021

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