公开(公告)号：US20130163894A1

公开(公告)日：2013-06-27

申请号：US13772262

申请日：2013-02-20

Applicant: GARY DEMOS

Inventor： GARY DEMOS

IPC: H04N7/26

CPC classification number: H04N19/00903 ,  H03M7/24 ,  H04N19/115 ,  H04N19/124 ,  H04N19/146 ,  H04N19/162 ,  H04N19/17 ,  H04N19/187 ,  H04N19/29 ,  H04N19/61 ,  H04N19/63 ,  H04N19/635 ,  H04N19/85

Abstract: Systems, methods, and processor executable code for high quality wide-range multi-layer image compression of a sequence of video images. A non-transient electronic storage media stores the processor executable code configured and is capable of causing one or more processors to compress a sequence of digitized video images. The method includes generating a hierarchy of processed images from a digitized video image, determining a plurality of regions within each processed image, each region being selected based on lossless coding efficiency; and applying a lossless variable-length coding independently to each such region.

Abstract translation: 系统，方法和处理器可执行代码，用于一系列视频图像的高质量宽范围多层图像压缩。 非瞬态电子存储介质存储配置的处理器可执行代码，并且能够使一个或多个处理器压缩数字化视频图像的序列。 该方法包括从数字化视频图像生成经处理的图像的层级，确定每个处理的图像内的多个区域，基于无损编码效率来选择每个区域; 以及独立地对每个这样的区域应用无损可变长度编码。

公开(公告)号：US07916952B2

公开(公告)日：2011-03-29

申请号：US11225665

申请日：2005-09-12

Applicant: Gary Demos

Inventor： Gary Demos

IPC: G06K9/36 ,  H03M7/00 ,  G06K9/46

CPC classification number: H04N19/00903 ,  H03M7/24 ,  H04N19/115 ,  H04N19/124 ,  H04N19/146 ,  H04N19/162 ,  H04N19/17 ,  H04N19/187 ,  H04N19/29 ,  H04N19/61 ,  H04N19/63 ,  H04N19/635 ,  H04N19/85

Abstract: Systems, methods, and computer programs for high quality wide-range multi-layer image compression coding, including consistent ubiquitous use of floating point values in essentially all computations; an adjustable floating-point deadband; use of an optimal band-split filter; use of entire SNR layers at lower resolution levels; targeting of specific SNR layers to specific quality improvements; concentration of coding bits in regions of interest in targeted band-split and SNR layers; use of statically-assigned targets for high-pass and/or for SNR layers; improved SNR by using a lower quantization value for regions of an image showing a higher compression coding error; application of non-linear functions of color when computing difference values when creating an SNR layer; use of finer overall quantization at lower resolution levels with regional quantization scaling; removal of source image noise before motion-compensated compression or film steadying; use of one or more full-range low bands; use of alternate quantization control images for SNR bands and other high resolution enhancing bands; application of lossless variable-length coding using adaptive regions; use of a folder and file structure for layers of bits; and a method of inserting new intra frames by counting the number of bits needed for a motion compensated frame.

Abstract translation: 用于高质量宽范围多层图像压缩编码的系统，方法和计算机程序，包括在基本上所有计算中一致地普遍使用浮点值; 可调式浮点死区; 使用最佳带分离滤波器; 以较低分辨率级别使用整个SNR层; 针对具体的SNR层进行特定的质量改进; 目标频带分割和SNR层中感兴趣区域中编码比特的浓度; 使用静态分配的高通和/或SNR层的目标; 通过对显示较高压缩编码误差的图像的区域使用较低的量化值来改善SNR; 在创建SNR层时计算差值时应用颜色的非线性函数; 在较低分辨率水平下使用区域量化缩放来更精细地进行总体量化; 在运动补偿压缩或胶片稳定之前去除源图像噪声; 使用一个或多个全范围低频带; 对SNR带和其他高分辨率增强频带使用替代量化控制图像; 使用自适应区域应用无损可变长度编码; 使用文件夹和文件结构层的位; 以及通过对运动补偿帧所需的比特数进行计数来插入新的帧内帧的方法。

公开(公告)号：US20050254649A1

公开(公告)日：2005-11-17

申请号：US11187176

申请日：2005-07-21

Applicant: Gary Demos

Inventor： Gary Demos

IPC: G06T9/00 ,  H04N5/14 ,  H04N5/21 ,  H04N5/44 ,  H04N7/01 ,  H04N7/167 ,  H04N7/26 ,  H04N7/36 ,  H04N7/46 ,  H04N7/50 ,  H04N9/64

CPC classification number: H04N5/14 ,  H04N5/144 ,  H04N5/21 ,  H04N5/4401 ,  H04N7/0112 ,  H04N7/012 ,  H04N7/0122 ,  H04N7/0132 ,  H04N9/64 ,  H04N19/13 ,  H04N19/17 ,  H04N19/31 ,  H04N19/33 ,  H04N19/34 ,  H04N19/36 ,  H04N19/467 ,  H04N19/51 ,  H04N19/523 ,  H04N19/55 ,  H04N19/567 ,  H04N19/577 ,  H04N19/587 ,  H04N19/59 ,  H04N19/61 ,  H04N19/80 ,  H04N19/86 ,  H04N21/440227 ,  H04N21/440263 ,  H04N21/440281

Abstract: A method and apparatus for image compression using temporal and resolution layering of compressed image frames, and which provides encryption and watermarking capabilities. In particular, layered compression allows a form of modularized decomposition of an image that supports flexible encryption and watermarking techniques. Using layered compression, the base layer and various internal components of the base layer can be used to encrypt a compressed layered movie data stream. By using such a layered subset of the bits, the entire picture stream can be made unrecognizable by encrypting only a small fraction of the bits of the entire stream. A variety of encryption algorithms and strengths can be applied to various portions of the layered stream, including enhancement layers. Encryption algorithms or keys can be changed at each slice boundary as well, to provide greater intertwining of the encryption and the picture stream. Watermarking tracks lost or stolen copies back to the source, so that the nature of the method of theft can be determined and so that those involved in a theft can be identified. Watermarking preferably uses low order bits in certain coefficients in certain frames of a layered compression movie stream to provide reliable identification while being invisible or nearly invisible to the eye. An enhancement layer can also have its own unique identifying watermark structure.