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DESIGN AND IMPLEMENTATION OF WAVELET-DOMAIN VIDEO COMPRESSION USING MULTIRESOLUTION MOTION ESTIMATION AND COMPENSATION

机译:基于多分辨率运动估计和补偿的小波域视频压缩设计与实现

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摘要

Video compression techniques have been applied routinely in order to conserve storage space and minimize bandwidth utilization in various video applications. To reduce inter-pixel redundancies inside and between video frames, video codecs (coder/decoder or compression/decompression) are mainly characterized by applying motion estimation and motion compensation (MEMC) in combination with discrete cosine transform (DCT). However, blocking artifacts are obvious from the block-based motion estimation and transformation, especially at low bit rates. Due to the intrinsic advantages of multiresolution and scalability of discrete wavelet transform (DWT), video compression techniques have been infused with exciting prospects by the beneficial integration of motion estimation and wavelet transformation. The contributions of this paper are in (1) proposing a design architecture of the wavelet-domain encoder and decoder; (2) implementing the multiresolution motion estimation and compensation method; and in (3) realizing the dynamic entropy encoding and decoding, so as to achieve more efficient video compression than the conventional spatial domain methods for low bit rate applications without the annoying blocking artifacts.
机译:为了节省存储空间并使各种视频应用中的带宽利用率最小,已常规应用视频压缩技术。为了减少视频帧内部和之间的像素间冗余,视频编解码器(编码器/解码器或压缩/解压缩)的主要特征是结合离散余弦变换(DCT)应用运动估计和运动补偿(MEMC)。然而,从基于块的运动估计和变换来看,块状伪像是显而易见的,尤其是在低比特率下。由于离散小波变换(DWT)的多分辨率和可伸缩性的内在优势,通过运动估计和小波变换的有益集成,视频压缩技术被注入了令人兴奋的前景。本文的贡献在于(1)提出了一种小波域编码器和解码器的设计架构。 (2)实现多分辨率运动估计与补偿方法; (3)实现了动态熵的编码和解码,与传统的低比特率应用的空间域方法相比,实现了更高效的视频压缩,并且没有令人讨厌的阻塞伪像。

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