公开(公告)号：WO9905851A2

公开(公告)日：1999-02-04

申请号：PCT/US9815962

申请日：1998-07-27

Applicant: PHYSICAL OPTICS CORP

Inventor： KOSTRZEWSKI ANDREW ,  TERNOVSKIY IGOR ,  JANNSON TOMASZ P

IPC: H04N7/26 ,  G06T9/00 ,  H04N

CPC classification number: G06T9/001

Abstract: Methods and apparatuses for still image compression, video compression and automatic target recognition are disclosed. The method of still image compression uses isomorphic singular manifold projection whereby surfaces of objects having singular manifold representations are represented by best match canonical polynomials to arrive at a model representation. The model representation is compared with the original representation to arrive at a difference. If the difference exceeds a predetermined threshold, the difference data are saved and compressed using standard lossy compression. The coefficients from the best match polynomial together with the difference data, if any, are then compressed using lossless compression. The method of motion estimation for enhanced video compression sends I frames on an "as-needed" basis, based on comparing the error between segments of a current frame and a predicted frame. If the error exceeds a predetermined threshold, which can be based on program content, the next frame sent will be an I frame. The method of automatic target recognition (ATR) including tracking, zooming, and image enhancement, uses isomorphic singular manifold projection to separate texture and sculpture portions of an image. Soft ATR is then used on the sculptured portion and hard ATR is used on the texture portion.

Abstract translation: 公开了用于静止图像压缩，视频压缩和自动目标识别的方法和装置。 静止图像压缩的方法使用同构奇异歧管投影，其中具有奇异歧管表示的对象的表面由最佳匹配规范多项式表示以得到模型表示。 将模型表示与原始表示进行比较以获得差异。 如果差超过预定阈值，则使用标准有损压缩来保存和压缩差分数据。 然后使用无损压缩来压缩来自最佳匹配多项式的系数以及差分数据（如果有的话）。 基于比较当前帧的段和预测帧之间的误差，增强视频压缩的运动估计方法在“根据需要”的基础上发送I帧。 如果错误超过可以基于节目内容的预定阈值，则发送的下一帧将是I帧。 包括跟踪，缩放和图像增强的自动目标识别（ATR）的方法使用同构奇异歧管投影来分离图像的纹理和雕塑部分。 然后在雕刻部分使用软ATR，并在纹理部分使用硬质ATR。