Title :
Directional image decomposition using retargeting pyramid
Author :
Tanaka, Yuichi ; Shirai, Keigo
Author_Institution :
Tokyo Univ. of Agric. & Technol., Tokyo, Japan
Abstract :
Retargeting pyramid (RP) is an alternative method for multiscale image decomposition to the well-known Laplacian pyramid (LP). RP can be obtained by replacing the low-pass filtering process in LP with content-aware image resizing (a.k.a. retargeting), which is a developing technique for computer vision researches. Furthermore, we use RP for contourlet-based directional image decomposition. In experimental results, the proposed decomposition outperforms the LP-based contourlet transform for image denoising.
Keywords :
Laplace transforms; computer vision; image denoising; LP-based contourlet transform; Laplacian pyramid; RP; computer vision research; content-aware image resizing; contourlet-based directional image decomposition; image denoising; low-pass filtering process; multiscale image decomposition; retargeting pyramid; Image decomposition; Image denoising; Laplace equations; Noise reduction; Streaming media; Wavelet transforms;
Conference_Titel :
Signal & Information Processing Association Annual Summit and Conference (APSIPA ASC), 2012 Asia-Pacific
Conference_Location :
Hollywood, CA
Print_ISBN :
978-1-4673-4863-8
