Title :
Reconstruction method of missing texture using error reduction algorithm
Author :
Ogawa, Takahiro ; Haseyama, Miki ; Kitajima, Hideo
Author_Institution :
Graduate Sch. of Eng., Hokkaido Univ., Sapporo, Japan
Abstract :
This paper presents a novel reconstruction method of missing textures using an error reduction algorithm which is one of phase retrieval methods. The proposed method estimates the Fourier transform magnitude of the missing area from another area whose texture is similar in the obtained image. In order to realize this, a novel approach that monitors the errors caused by the error reduction algorithm is introduced into the selection scheme of the similar texture. Further, the proposed method estimates the phase of the target area by using the error reduction algorithm modified for the texture reconstruction and can restore the missing area accurately. Some experimental results show that the proposed method achieves more accurate restoration than that of the traditional methods.
Keywords :
Fourier transforms; image reconstruction; image texture; phase estimation; Fourier transform; error reduction algorithm; magnitude estimation; missing texture; phase estimation; phase retrieval methods; reconstruction method; selection scheme; Computer errors; Discrete Fourier transforms; Fourier transforms; Image reconstruction; Image restoration; Information retrieval; Information science; Iterative algorithms; Phase estimation; Reconstruction algorithms;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1530233