Applicability of wavelet transform in Multi-Resolution Motion estimation technique

H. Kumar, Prativa Rai, D. Sarma, G. Thapa
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引用次数: 2

Abstract

The lossy compression scheme is often used to compress data such as digital image and video. Such a video compression scheme based on the wavelet transform is presented in this paper. The multi-resolution/multi-frequency nature of the discrete wavelet transform is an ideal tool for representing images and video signals. Wavelet transform decomposes a video frame into a set of sub-frames with different resolutions corresponding to different frequency bands. These multi-resolution frames also provide a representation of the global motion structure of the video signal at different scales. The motion activities for a particular sub-frame at different resolutions are different but highly correlated since they actually specify the same motion structure at different scales. In the multi-resolution motion compensation approach, motion vectors in higher resolution are predicted by the motion vectors in the lower resolution and are refined at each step. In this paper, we propose a variable block-size MRMC (Multi-Resolution Motion Compensation) scheme. The approximate sub-image which carries the maximum information of the image sequence is compensated using the smallest block size and the other approximate sub-images are compensated using relatively bigger block sizes. The motion vectors of the approximate sub-images in lower resolution are used for motion compensation of their corresponding sub-images. This scheme considerably reduces the computing load, storage and transmission bandwidth. During transmission of an image sequence, only the residual image after motion compensation and the motion vector of the first level decomposition need to be transmitted to the decoder in order to reconstruct the original image. The simulation results show that the proposed approach has a satisfactory performance in terms of peak-to-peak signal-to-noise ratio (PSNR).
小波变换在多分辨率运动估计中的应用
有损压缩方案通常用于压缩数字图像和视频等数据。本文提出了一种基于小波变换的视频压缩方案。离散小波变换的多分辨率/多频率特性是表示图像和视频信号的理想工具。小波变换将一个视频帧分解成一组不同分辨率的子帧,对应于不同的频带。这些多分辨率帧还提供了视频信号在不同尺度上的全局运动结构的表示。在不同分辨率下,特定子帧的运动活动是不同的,但高度相关,因为它们实际上在不同尺度上指定了相同的运动结构。在多分辨率运动补偿方法中,高分辨率的运动矢量由低分辨率的运动矢量预测,并在每一步进行细化。在本文中,我们提出了一种可变块大小的MRMC(多分辨率运动补偿)方案。使用最小的块大小补偿携带图像序列最大信息的近似子图像,使用相对较大的块大小补偿其他近似子图像。利用低分辨率近似子图像的运动向量对相应子图像进行运动补偿。该方案大大降低了计算负荷、存储和传输带宽。在图像序列的传输过程中,只需要将运动补偿后的残差图像和一阶分解后的运动矢量传输给解码器,即可重建原始图像。仿真结果表明,该方法在峰值信噪比(PSNR)方面具有满意的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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