Blind Deconvolution for a Curved Motion Based on Cepstral Analysis
スポンサーリンク
概要
- 論文の詳細を見る
When a camera moves during its exposure time, the captured image is degraded by the motion. Despite the several decades of researches, image deconvolution to restore a blurred image still remains an issue, particularly in blind deconvolution cases in which the actual shape of the blur is unknown. The cepstral approaches have been used to estimate a linear motion. In this paper, we propose a Point Spread Function (PSF) estimation method from a single blurred image. We extend the classical cepstral approaches that have been used for Uniform Linear motion PSF estimation. Focusing on Uniform Non-Linear motion (UNLM) that goes one direction and potentially weakly curves, we solve the PSF estimation problem as a camera path estimation problem. To solve the ill-posed problem, we derive a constraint on the behavior of the cepstra of UNLM PSFs. In a first step, we estimate several PSF candidates from the cepstrum of a blurred image. Then, we select the best PSF candidate by evaluating the candidates based on the ringing artifacts on the restored images obtained using the candidates. The performance of the proposed method is verified using both synthetic images and real images.
論文 | ランダム
- 3K1145 酸性条件下におけるα-ラクトアルブミンと中性リン脂質DMPC膜との複合体に関する研究(1.蛋白質(B)構造・機能相関,一般講演,日本生物物理学会第40回年会)
- 領域12「分子から生理へ」(第57回年次大会シンポジウム(物性分科会)の報告)
- SOSUIによるゲノムからの膜タンパク質予測
- 膜蛋白質・蛋白質複合体の構造プロテオミクス ゲノムスケールでの膜蛋白質の同定 (蛋白質ネットワークの構造生物学) -- (第2部 構造プロテオミクスにおける最新技術)
- 3P085n-nonyl-β-glucosideにより可溶化されたバクテリオロドプシンの構造安定性