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1.
Kevin E. Spaulding Geoffrey J. Woolfe Rajan L. Joshi 《Color research and application》2003,28(4):251-266
Image sources, such as digital camera captures and photographic negatives, typically have more information than can be reproduced on a photographic print or a video display. The information that is lost during the tone/color rendering process relates to both the extended dynamic range and color gamut of the original scene. In conventional photographic systems, most of this additional information is archived on the photographic negative and can be accessed by adjusting the way the negative is printed. However, most digital imaging systems have traditionally archived only a rendered video RGB image. As a result, it is not possible to make the same sorts of image manipulations that historically have been possible with conventional photographic systems. This suggests that there would be an advantage to storing images using an extended dynamic range/color gamut color encoding. However, because of file compatibility issues, digital imaging systems that store images using color encoding other than a standard video RGB representation (e.g., sRGB) would be significantly disadvantaged in the marketplace. In this article, we describe a solution that has been developed to maintain compatibility with existing file formats and software applications, while simultaneously retaining the extended dynamic range and color gamut information associated with the original scenes. With this approach, the input raw digital camera image or film scan is first transformed to the scene‐referred ERIMM RGB color encoding. Next, a rendered sRGB image is formed in the usual way and stored in a conventional image file (e.g., a standard JPEG file). A residual image representing the difference between the original extended dynamic range image and the final rendered image is formed and stored in the image file using proprietary metadata tags. This provides a mechanism for archiving the extended dynamic range/color gamut information, which is normally discarded during the rendering process, without sacrificing interoperability. Appropriately enabled applications can decode the residual image metadata and use it to reconstruct the ERIMM RGB image, whereas applications that are not aware of the metadata will ignore it and only have access to the sRGB image. The residual image is formed such that it will have negligible pixel values for those portions of the image that lie within the sRGB gamut, and will therefore be highly compressible. Tests on a population of 950 real customer images have demonstrated that the extended dynamic range scene information can be stored with an average file size overhead of about 8% compared to the sRGB images alone. © 2003 Wiley Periodicals, Inc. Col Res Appl, 28, 251–266, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/col.10160 相似文献
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新一代静止图像压缩标准JPEG2000 总被引:3,自引:0,他引:3
随着多媒体应用领域的扩展,传统的图像压缩技术已无法满足人们对多媒体图像的要求,各种图像压缩格式应运而生,如JPEG、MPEG-4VTC、PNG等。其中新一代ISO/ITU-T静止图像压缩标准JPEG2000成为热点。文章重点介绍JPEG2000图像编码系统的基本思想及其特性。 相似文献
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ROI-based Watermarking Scheme for JPEG 2000 总被引:1,自引:0,他引:1
Yu-Cheng Fan Arvin Chiang Jan-Hung Shen 《Circuits, Systems, and Signal Processing》2008,27(5):763-774
A new region of interest (ROI)-based watermarking method for JPEG 2000 is presented. The watermark is embedded into the host
image based on the characteristics of the ROI to protect rights to the images. This scheme integrates the watermarking process
with JPEG 2000 compression procedures. Experimental results have demonstrated that the proposed watermark technique successfully
survives JPEG 2000 compression, progressive transmission, and principal attacks. 相似文献
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校本文基于ADI公司BF561的嵌入式处理器,以OV7660 CMOS图像传感器为视频图像输入源,以uClinux为操作系统,采用先进的JPEG2000图像压缩算法,设计了一种视频图像采集系统的实现方案,实现了视频图像的采集,处理及传输。测试结果表明,在上位机端可以看到比较清晰的图像。 相似文献
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张明 《自动化与仪器仪表》2014,(12):51-53
介绍了JPEG标准、JPEG2000标准及其相比JPEG标准的改进和优点。通过对JPEG标准压缩流程及算法的分析与研究,得到JPEG标准压缩的基本原理:利用人类的视觉特点对亮度分量的精度敏感,而对色度分量的精度迟钝,将RGB颜色模式转换为YCrCb颜色模式;基于视觉特点来抑制高频部分使用离散余弦变换和量化来实现;应用完全可逆的熵编码即霍夫曼编码使比特序列更小。 相似文献
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基于MPUI模型的JPEG2000图像最大隐写容量 总被引:2,自引:0,他引:2
隐写容量是信息隐藏的4项性能指标之一,目前,相关科研工作者对其他3项指标,即鲁棒性、透明性和计算复杂性进行过大量的研究,但隐写容量方面的研究却很少.该研究有力地完善了信息隐藏的理论体系,根据JPEG2000压缩标准以及人眼对小波系数改变的敏感程度,借助小波系数的失真代价函数,区分出小波系数的承载秘密信息能力:失真代价函数值越小,该小波系数承载能力就越强;反之,该小波系数承载能力就越弱.当失真代价函数值大于1时,该系数不具有承载信息的能力,即为湿系数.通过最大隐写容量估算实验以及位满嵌入、过位嵌入和湿嵌入等评估实验,验证了所提方法的有效性. 相似文献
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针对JPEG2000码流的渐进传输特性,提出了一种多参数优化的联合信源信道编码方法,即MPO-JSCC。在码率分配的基础上,动态地选择Turbo码交织长度、迭代译码次数,通过优化编码器多个参数更好地执行不等差错保护策略,同时加入JPEG2000容错工具,在接收端利用错误掩藏机制以提高图像解码成功率。将该方法应用于噪声信道的图像传输系统中,仿真结果表明,MPO-JSCC既能在不增加系统复杂度及延迟时间的同时提高重建图像的质量,又能节省系统发射功率,具有一定的现实指导意义。 相似文献
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Yuqing LAN Hao XU 《Frontiers of Computer Science in China》2014,(6):885-892
Increasingly mature cloud computing technology promotes virtual desktop technology, which can solve many problems existing in traditional computing models. However, virtual desktop solutions introduce the thorny problem of how to deliver a real desktop experience to users, as if they are using it locally, especially when playing video. The SPICE (simple protocol for independent computing environments) virtual desktop solution provides several image compression algorithms to address this problem with the purpose of making virtual desktops as real as possible. Although different compression algorithms can contribute their own abilities to different images to a large extent, switching between them is a big problem that consumes a large amount of resources to detect the different type of image and also causes jitter of the virtual desktop. This paper proposes a new solution, called SPICEx, using the JPEG2000 compression algorithm with dynamic compression ratios to solve the problem and finally validates that the performance is better than that of SPICE. With better quality of user experience and also reducing bandwidth consumption, SPICEx solution is meaningful in virtual desktop fields and can be widely used. 相似文献