| 1. | Dpcm differential pulse code modulation
差值脉冲编码调制 |
| 2. | Dpcm differential pulse code modulation
差动脉冲调制 |
| 3. | Lossless compression algorithm for medical image based on integer wavelet transform and dpcm
与整数小波变换结合的医学图像无损压缩算法 |
| 4. | Sofm arithmetic methodology , lbg arithmetic methodology , dpcm encoding step by step , wavelet zero tree compression etc , are common methods applied in the encoding of image at present
本文主要探讨了sofm算法、 lbg算法、 dpcm分步编码、小波零树压缩等较为多见的几种图像编码方法。 |
| 5. | For the background is unchangeable , this paper adopts dct commutation with dpcm , rlc coding , and huffman " s coding arithmetic of image compressing , and gets favorable effect
由于背景不变，本文采用dpcm (差分脉冲编码调制)结合dct变换、 rlc编码和哈夫曼编码图像压缩算法，并取得良好的效果。 |
| 6. | A type of distortion that results when dpcm is applied to television . it manifests itself as a visually noticeable jitter in those parts of the image that have high - contrast edges
当差分脉码调制（ dpcm ）用于电视时所产生的一种失真。在具有高反差边缘的图象上，这种失真表现为一种明显的视觉抖动。 |
| 7. | In this paper , because direct current coefficients of 8 8 block have been predicted with integer dpcm , each steps of transform in dct and dpcm were made up of the reversible integer transform
由于本文对块间直流系数进行了整数dpcm预测，因此dct 、 dpcm的每一步均由可逆的整数变换构成，保证了图像的无损恢复。 |
| 8. | Except h . 264 , almost all of the standards use mc - dpcm / dct technologies . motion compensation and dct ( discrete cosine transform ) are used to decorrelate spatio - temporal correlation of video signal and quantization is used to exploit perceptual redundancy of nature video
除最新的h . 264外，这些标准都是基于联合mc - dpcm dct的视频压缩框架，即采用运动补偿预测和离散余弦变换分别消除视频信号的时域和空域冗余。 |
| 9. | The dissertation combine the theory , with using integers dct transform to realize grey image lossless compress with the method of reversible color space integers transform and reversible integers dpcm prediction to realize lossless compress from grey image to color image with huffman coding method via visual c + + program
本文借鉴整数dct变换实现灰度图像无损压缩的理论研究成果，将其与可逆的颜色空间整数变换和可逆的整数dpcm预测相结合，采用哈夫曼编码方法，用vc编程实现了从灰度图像到彩色图像的无损压缩。 |
| 10. | The advanced algorithm consists of three parts . by choosing more suitable biorthogonal wavelet basis and symmetric periodic extension to improve the compression quality . since most energy focus in the low frequency part , a little distortion will effect the quality of entire image heavily
由于最低频部分集中了绝大部分能量，其失真将严重地影响整个图像的恢复质量，因此对其进行单独处理，本论文尝试了采用dpcm方法进行编码，充分利用了低频系数的相关性，提高了压缩比。 |
