Fast reconstruction with adaptive sampling in block compressed imaging

IEICE Electronics Express

Sheng Chang¹  Jun Luo¹  Qijun Huang¹  Hao Wang¹ 

[1] Department of Electronic Science and Technology, School of Physics and Technology, Wuhan University

关键词: compressed imaging;    adaptive sampling;    separable operator;    linear reconstruction;   

DOI  :  10.1587/elex.11.20140056

学科分类：电子、光学、磁材料

来源: Denshi Jouhou Tsuushin Gakkai

【 摘 要 】

References(11)Cited-By(3)This paper presents an efficient reconstruction method in block compressed imaging (BCI) for natural images. To avoid the high complexity and give a time-efficient approach, block-based separable two-dimension (2D) linear reconstruction method is proposed. The techniques of adaptive sampling (AS) and separable reconstruction are combined to yield a competitive solution for BCI. The AS is utilized by employing more measurements in the texture redundant blocks. The separable 2D reconstruction uses linear approach based on minimum mean square error (MMSE) to reduce the decoder complexity. Experiment results demonstrate that the proposed scheme can efficiently reduce the reconstruction complexity and give a competitive image quality compared to non-linear approaches.

【 授权许可】

Unknown