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A study of perceptually tuned, wavelet based, rate scalable image and video compression.

机译:对基于知觉调整的,基于小波的速率可缩放图像和视频压缩的研究。

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摘要

In this dissertation, first, we have proposed and implemented a new perceptually tuned wavelet based, rate scalable, and color image encoding/decoding system based on the human perceptual model. It is based on state-of-the-art research on embedded wavelet image compression technique, Contrast Sensitivity Function (CSF) for Human Visual System (HVS) and extends this scheme to handle optimal bit allocation among multiple bands, such as Y, Cb, and Cr. Our experimental image codec shows very exciting results in compression performance and visual quality comparing to the new wavelet based international still image compression standard-JPEG 2000. On the other hand, our codec also shows significant better speed performance and comparable visual quality in comparison to the best codec available in rate scalable color image compression---CSPIHT that is based on Set Partition In Hierarchical Tree (SPIHT) and Karhunen-Loeve Transform (KLT). Secondly, a novel wavelet based interframe compression scheme has been developed and put into practice. It is based on the Flexible Block Wavelet Transform (FBWT) that we have developed. FBWT based interframe compression is very efficient in both compression and speed performance. The compression performance of our video codec is compared with H263+. At the same bit rate, our encoder, being comparable to the H263+ scheme, with a slightly lower Peak Signal Noise Ratio (PSNR) value, produces a more visually pleasing result. This implementation also preserves scalability of wavelet embedded coding technique. Thirdly, the scheme to handle optimal bit allocation among color bands for still imagery has been modified and extended to accommodate the spatial-temporal sensitivity of the HVS model. The bit allocation among color bands based on Kelly's spatio-temporal CSF model is designed to achieve the perceptual optimum for human eyes. A perceptually tuned, wavelet based, rate scalable video encoding/decoding system has been designed and implemented based on this new bit allocation scheme. Finally to present the potential applications of our rate scalable video codec, a prototype system for rate scalable video streaming over the Internet has been designed and implemented to deal with the bandwidth unpredictability of the Internet.
机译:本文首先提出并实现了一种基于人类感知模型的基于感知调谐的小波,速率可扩展和彩色图像编码/解码系统。它基于对嵌入式小波图像压缩技术,人类视觉系统(HVS)的对比度敏感度函数(CSF)的最新研究,并扩展了该方案,以处理Y,Cb等多个频段之间的最佳比特分配和Cr。与基于新的基于小波的国际静止图像压缩标准JPEG 2000相比,我们的实验图像编解码器在压缩性能和视觉质量方面显示出非常令人振奋的结果。另一方面,与JPEG 2000相比,我们的编解码器还显示出显着更好的速度性能和相当的视觉质量。速率可缩放彩色图像压缩中可用的最佳编解码器-CSPIHT,它基于层次树中的设置分区(SPIHT)和Karhunen-Loeve变换(KLT)。其次,提出了一种基于小波的新颖帧间压缩方案并付诸实践。它基于我们开发的灵活块小波变换(FBWT)。基于FBWT的帧间压缩在压缩和速度性能上都非常有效。我们的视频编解码器的压缩性能与H263 +进行了比较。在相同的比特率下,我们的编码器与H263 +方案相当,峰值信号噪声比(PSNR)值略低,产生了视觉上更令人愉悦的结果。此实现还保留了小波嵌入式编码技术的可伸缩性。第三,已经修改并扩展了用于处理静止图像的各色带之间的最佳位分配的方案,以适应HVS模型的时空敏感性。基于Kelly时空CSF模型的色带之间的位分配旨在实现人眼的感知最佳。基于这种新的比特分配方案,已经设计并实现了一种基于感知调谐,基于小波的速率可伸缩视频编码/解码系统。最后,为了展示我们的速率可伸缩视频编解码器的潜在应用,已经设计并实现了用于Internet上速率可伸缩视频流的原型系统,以处理Internet的带宽不可预测性。

著录项

  • 作者

    Wei, Ming.;

  • 作者单位

    University of North Texas.;

  • 授予单位 University of North Texas.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 148 p.
  • 总页数 148
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术、计算机技术;
  • 关键词

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