Efficient disparity estimation algorithm based on spatial correlation

2003 ◽  
Vol 42 (1) ◽  
pp. 176 ◽  
Author(s):  
Jin-Woo Bae
Keyword(s):  
Spatial Correlation ◽  
Estimation Algorithm ◽  
Disparity Estimation

Fast disparity estimation algorithm based on features of disparity vector

2013 ◽  
Vol 32 (6) ◽  
pp. 1856-1859
Author(s):  
Xiao-wei SONG ◽  
Lei YANG ◽  
Zhong LIU ◽  
Liang LIAO
Keyword(s):  
Estimation Algorithm ◽  
Disparity Estimation ◽  
Disparity Vector

Improved Disparity Estimation Algorithm Based on PSMNet

2021 ◽  
Author(s):  
Juan Du ◽  
Yongchao Tang ◽  
Bohang Li ◽  
Dengping Lin ◽  
Juan Huang
Keyword(s):  
Estimation Algorithm ◽  
Disparity Estimation

IMAGE DISPARITY ESTIMATION BASED ON FRACTIONAL DUAL-TREE COMPLEX WAVELET TRANSFORM: A MULTI-SCALE APPROACH

2013 ◽  
Vol 11 (01) ◽  
pp. 1350004 ◽  
Author(s):  
SANOJ KUMAR ◽  
SANJEEV KUMAR ◽  
BALASUBRAMANIAN RAMAN ◽  
N. SUKAVANAM
Keyword(s):  
Wavelet Transform ◽  
Fractional Fourier Transform ◽  
Estimation Algorithm ◽  
Analytic Signal ◽  
Disparity Estimation ◽  
Complex Wavelet Transform ◽  
Multi Scale ◽  
Mathematical Properties ◽  
Realistic Image ◽  
Complex Wavelet

In this paper, an efficient multi-scale image disparity estimation algorithm is proposed which estimates the local displacements needed to align different regions between a pair of images. This phase-based approach is based on fractional dual-tree complex wavelet transform (FrDTCWT). In the proposed FrDTCWT, initially we obtained the fractional Fourier transform of the image. We decomposed the fractional transformed image by dual-tree complex wavelet transform into real and imaginary parts. The complex analytic signal is obtained from the real-valued function which is obtained from this FrDTCWT. The FRDTCWT inherits the excellent mathematical properties of DTCWT and FrFT. Phase and amplitude of the image are computed from the complex analytic signal. The disparity is estimated as the optical flow using the phase difference method. The efficiency of the proposed algorithm is carried out by different experiments on synthetic as well as on realistic image sequences.

scholarly journals A Novel High Efficiency Fractal Multiview Video Codec

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Shiping Zhu ◽  
Dongyu Zhao ◽  
Ling Zhang
Keyword(s):  
High Efficiency ◽  
Translational Motion ◽  
Three Dimensional ◽  
Rate Distortion ◽  
Spatial Prediction ◽  
Estimation Algorithm ◽  
Video Data ◽  
Video Codec ◽  
Disparity Estimation ◽  
Multiview Video

Multiview video which is one of the main types of three-dimensional (3D) video signals, captured by a set of video cameras from various viewpoints, has attracted much interest recently. Data compression for multiview video has become a major issue. In this paper, a novel high efficiency fractal multiview video codec is proposed. Firstly, intraframe algorithm based on the H.264/AVC intraprediction modes and combining fractal and motion compensation (CFMC) algorithm in which range blocks are predicted by domain blocks in the previously decoded frame using translational motion with gray value transformation is proposed for compressing the anchor viewpoint video. Then temporal-spatial prediction structure and fast disparity estimation algorithm exploiting parallax distribution constraints are designed to compress the multiview video data. The proposed fractal multiview video codec can exploit temporal and spatial correlations adequately. Experimental results show that it can obtain about 0.36 dB increase in the decoding quality and 36.21% decrease in encoding bitrate compared with JMVC8.5, and the encoding time is saved by 95.71%. The rate-distortion comparisons with other multiview video coding methods also demonstrate the superiority of the proposed scheme.

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