Highly scalable video compression using a lifting-based 3D wavelet transform with deformable mesh motion compensation

2003 ◽  
Author(s):  
A. Secker ◽  
D. Taubman
Keyword(s):  
Wavelet Transform ◽  
Video Compression ◽  
Motion Compensation ◽  
Scalable Video ◽  
Mesh Motion ◽  
3D Wavelet Transform ◽  
Deformable Mesh

Video Compression Based on Wavelet Transform and DBMA with Motion Compensation

2013 ◽  
Vol 8 (7) ◽  
pp. 440-448
Author(s):  
Zhengxin Hou ◽  
Baochen Jiang ◽  
Yupeng Cao ◽  
Aiping Yang ◽  
Chengyou Wang
Keyword(s):  
Wavelet Transform ◽  
Video Compression ◽  
Motion Compensation

scholarly journals Lossless 4D Medical Images Compression Using Adaptive Inter Slices Filtering

2018 ◽  
Vol 7 (4) ◽  
pp. 361
Author(s):  
Leila Belhadef ◽  
Zoulikha Mekkakia Maaza
Keyword(s):  
Wavelet Transform ◽  
Video Compression ◽  
Motion Compensation ◽  
Medical Images ◽  
Lossless Compression ◽  
Compression Rate ◽  
New Approach ◽  
Different Dimensions

<p>Recent lossless 4D medical images compression works are based on the application of techniques originated from video compression to efficiently eliminate redundancies in different dimensions of image. In this context we present a new approach of lossless 4D medical images compression which consists to application of 2D wavelet transform in spatial directions followed or not by either lifting transform or motion compensation in inter slices direction, the obtained slices are coded by 3D SPIHT. Our approach was compared with 3D SPIHT with/without motion compensation. The results show our approach offers better performance in lossless compression rate.</p>

scholarly journals Active Mesh Based Motion Compensation Algorithm for Video Compression in Wavelet Sub Bands

2019 ◽  
Vol 8 (6) ◽  
pp. 1812-1817
Keyword(s):  
Motion Estimation ◽  
Video Compression ◽  
Motion Compensation ◽  
Motion Vector ◽  
Motion Vectors ◽  
Energy Functions ◽  
Mesh Motion ◽  
Compensation Algorithm ◽  
Original Frame ◽  
Performance Rate

The method of assessing the motion vectors is termed as Motion Estimation and consequently reconstructing the original frame using these motion vectors is termed as Motion Compensation. In this paper a new active mesh based Motion estimation and compensation algorithm in wavelet domain at subpixel level is proposed. To achieve the accuracy in estimating the motion vector from reference frame to predicted frame in sub pixel level a Wavelet based Counterlet transform is used. This new mesh based method is based by minimizing the mesh energy with energy functions as its input coefficients. The accuracy of the estimation and the compensation is improved by the feature points obtained by the energy functions. The analysis of the experimental results describes that there is improvement in the distortion of the performance rate for the video compression and this is achieved by the generation of the structured and the unstructured active mesh motion techniques in the wavelet sub-bands. The energy criteria of the input coefficients helps to retain the energy in the sub-bands which is a condition that helps in significant gaining of the PSNR required for better outcome.

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