TY  - JOUR
TI  - Image completion based on statistical texture analysis
ID  - scholars6379
KW  - Computer graphics; Image processing; Repair; Textures; Video signal processing
KW  -  Gray level co-occurrence matrix; Image and video processing; Image completion; Image Inpainting; State-of-the-art methods; Texture analysis; Texture synthesis; Visual artifacts
KW  -  Image texture
IS  - 1
N2  - Image completion is an active subject in image and video processing, which deals with the recovery of original data. Most previous image completion techniques required extensive searches to find the most suited texture to repair the damaged area. In addition, visual artifacts tend to appear when the damaged area is large. We present a fast texture synthesis and image completion method that does not require an extensive search process. The proposed method is based on gray-level co-occurrence matrix and weighted two-side hole filling. The method gives high quality results compared with state-of-the-art methods. It reduces the time from hundreds of seconds to a few milliseconds and is able to repair large damaged areas without artifacts or shadows. © 2015 SPIE and IS&T.
N1  - cited By 6
AV  - none
VL  - 24
A1  - Zarif, S.
A1  - Faye, I.
A1  - Rohaya, D.
JF  - Journal of Electronic Imaging
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84924145145&doi=10.1117%2f1.JEI.24.1.013032&partnerID=40&md5=50e94a5a3fed2596257b3a40ef4ac540
PB  - SPIE
SN  - 10179909
Y1  - 2015///
ER  -