Phase Retrieval Based on a Snake for Image Reconstruction(<Special Section>Advanced Image Technology)
スポンサーリンク
概要
- 論文の詳細を見る
A new phase retrieval method using an active contour model (snake) for image reconstruction is proposed. The proposed method reconstructs a target image by retrieving the phase from the magnitude of its Fourier transform and the measured area of the image. In general, the measured area is different from the true area where the target image exists. Thus a snake, which can extract the shape of the target image, is utilized to renew the measured area. By processing this renewal iteratively, the area obtained by the snake converges to the true area and as a result the proposed method can accurately reconstruct a target image even when the measured area is different from the true area. Experimental results show the effectiveness of the proposed method.
- 2007-01-01
著者
-
Haseyama Miki
School Of Information Science And Technology Hokkaido University
-
Kitajima Hideo
School of Engineering, Hokkaido University
-
Kitajima H
School Of Engineering Hokkaido University
-
Kitajima Hideo
School Of Engineering Hokkaido University
-
Kondo K
School Of Engineering Hokkaido University
-
KONDO Keiko
School of Engineering, Hokkaido University
-
Haseyama Miki
School Of Engineering Hokkaido University
関連論文
- Phase Retrieval Based on a Snake for Image Reconstruction(Advanced Image Technology)
- QUALITY ESTIMATION OF FRACTAL CODED IMAGES BASED ON IMAGE FEATURES(INTERNATIONAL Workshop on Advanced Image Technology 2008)
- A VIDEO CODING TECHNIQUE USING FRACTAL CODING(International Workshop on Advanced Image Technology 2006)
- 形状に基づく動的輪郭モデル
- Steady-State Properties of a CORDIC-Based Adaptive ARMA Lattice Filter(Digital Signal Processing)
- Convergence Properties of a CORDIC-Based Adaptive ARMA Lattice Filter(Digital Signal Processing)
- A Cost-Effective CORDIC-Based Architecture for Adaptive Lattice Filters(Audio/Speech Coding)(Applications and Implementations of Digital Signal Processing)
- A Transformation Method of a CORDIC ARMA Lattice Filter for Signal Synthesis (Special Section on VLSI for Digital Signal Processing)
- A GA AND SA-BASED FAST SEARCH ALGORITHM FOR IFS PARAMETERS IN FRACTAL IMAGE CODING
- EFFECTIVE PEDESTRIAN DETECTION IN LOW-CONTRAST IMAGES(International Workshop on Advanced Image Technology 2006)
- A CONTENT-BASED IMAGE RETRIEVAL METHOD BASED ON FRACTAL IMAGE CODING
- A Significant Property of Mapping Parameters for Signal Interpolation Using Fractal Interpolation Functions(Digital Signal Processing)
- A Novel Contour Description with Expansion Ability Using Extended Fractal Interpolation Functions(Image Processing, Image Pattern Recognition)
- A Simplification Method for Line Drawings which Retains the Shape by Using the Fractal Dimension
- D-11-29 A Renewed Interest in the Hadamard Transform(D-11. 画像工学A(画像基礎・符号化), 情報・システム2)
- AN ACCURATE NOISE DETECTOR FOR THE REMOVAL OF IMPULSIVE NOISE
- GAおよびSAを用いたフラクタル画像符号化(画像処理)
- A New Quantization Method for SAR Signals(The IEICE Transactions (publishedin Japanese) Vol. J 86-B, No.6(Communications))
- 遺伝的アルゴリズム,シミュレ-テッドアニ-リングを用いたFIR型ディジタルフィルタのARMA型ディジタルフィルタへの変換設計方法
- An ARMA Order Selection Method with Fuzzy Theorem (Special Section of Papers Selected from JTC-CSCC'93)
- Relation between RLS and ARMA Lattice Filter Realization Algorithm and Its Application (Special Section on Signal Processing and System Theory)
- Windows for Pre-Emphasis and De-Emphasis for Block Coding of Images
- A SHAPE-CONSTRAINT-BASED SPLITTING ACTIVE CONTOUR MODEL AND ITS APPLICATIONS
- D-11-23 Entropy Analysis of a Uniform Quantizer Used for Coarse Quantization
- Transformation of Normalized ARMA Lattice Filters for the Purpose of Signal Synthesis
- A Method Quantizing Filter Coefficients with Genetic Algorithm and Simulated Annealing (Special Section on Digital Signal Processing)
- The Extraction of Circles from Arcs Represented by Extended Digital Lines(Image Processing and Video Processing)
- D-11-5 A Study on the Output Entropy of a Uniform Quantizer
- D-11-51 A Simple Performance Measure for Interframe Predictors for Video Coding
- Super-Resolution Reconstruction for Spatio-Temporal Resolution Enhancement of Video Sequences