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Color Image coding Apparatus and Method Using Object-based Spectral Correlation Estimator

机译:使用基于对象的光谱相关估计器的彩色图像编码装置和方法

摘要

The present invention is in proportion to the approximate square error between the extracted shape information of each object by performing domain decomposition in view of the spectral correlation inherent between color component image, a luminance image and the R, B image in object units is minimized factor and acceleration by calculating a factor then bit them to streamed by about the image encoded using an object-based spectral correlation estimator, the image encoding new type of object-based color way to estimate coding a color component image from the luminance image method will be.; For the EBCOT algorithm JEPG2000 being evaluated to provide a very high extrusion rate in a conventional codec, usually at least PSNR 25dB, 500 for the color difference image (Cb, Cr): On the other hand, the compressed at least one non-of the present invention the method on average, 1000: it was confirmed a high compression is available to the first through the computer simulation results: 1 up to 5000. In addition, while conventional color image compression method is to degrade a lot of contours and a high frequency range, the method of the present invention provide excellent performance in the subjective quality assessment in accordance with the clearance to effectively reproduce the locus (contour) of the sensitive object in the human visual there are advantages to.
机译:考虑到颜色分量图像,亮度图像和对象单元中的R,B图像之间固有的光谱相关性,本发明通过执行域分解与提取的每个对象的形状信息之间的近似平方误差成比例。通过计算一个因数并加速,然后将它们比特化,以流过大约一个使用基于对象的光谱相关估计器编码的图像,该图像编码的新型基于对象的颜色方式将根据亮度图像方法估计对颜色分量图像的编码。;对于EBCOT算法JEPG2000,在常规编解码器中被评估为提供非常高的挤出率,对于色差图像(Cb,Cr),通常至少为PSNR 25dB,500为至少:压缩后的至少一个非本发明的方法平均为1000:首先通过计算机仿真结果确认了高压缩率:1到5000。此外,传统的彩色图像压缩方法会降低许多轮廓,在高频率范围内,本发明的方法在主观质量评估中提供了优良的性能,按照间隙来有效地再现人眼中敏感物体的轨迹(轮廓)具有优势。

著录项

  • 公开/公告号KR20010105117A

    专利类型

  • 公开/公告日2001-11-28

    原文格式PDF

  • 申请/专利权人 곽노윤;임평섭;

    申请/专利号KR20000027124

  • 发明设计人 곽노윤;임평섭;

    申请日2000-05-19

  • 分类号H04N9/80;

  • 国家 KR

  • 入库时间 2022-08-22 00:32:13

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