| 1. | Ct image block reconstruction algorithm
图像分块重建算法 |
| 2. | Two data bits are hidden by at most modifying two pixels in an embeddable image block according to the proposed embedding criteria
根据我们所提出的资料嵌入准则，每一个可藏区块至多修改两个像素就能藏入两个位元的资料量。 |
| 3. | We analysis the features of color image , choose the area in which watermarking is to be embedded , improve the classify of image blocks on hvs
研究了彩色图像特点，根据dct特点确定了水印嵌入区域，在原有的hvs图像块分类的基础上进行改进，完善了hvs图像块分类。 |
| 4. | The block - based discrete cosine transform ( bdct ) suffers from visible blocking artifacts between adjacent image blocks at low bit rates , which reduces the image visual quality
摘要块离散余弦变换在低比特率时其恢复图像的块边界上会出现明显可见的方块效应，从而降低了图像的视觉质量。 |
| 5. | Abstract the block - based discrete cosine transform （ bdct ） suffers from visible blocking artifacts between adjacent image blocks at low bit rates , which reduces the image visual quality
摘要块离散余弦变换在低比特率时其恢复图像的块边界上会出现明显可见的方块效应，从而降低了图像的视觉质量。 |
| 6. | This paper introduces some algorithms for background extraction , and presents a new algorithm for background extraction based on image block energy and high order statistic theory ( hos ) , and background reconstruction constraint conditions are setup
摘要介绍了几种常用的背景提取算法，提出一种新的算法，利用图像块能量、高阶累积量建立背景约束的准则。 |
| 7. | In this paper , some common technologies of data compression and standards of image compression are analyzed , algorithms such as huffman , lzw and arithmetic are implemented . an algorithm named rectangle image block compression is presented for the screen image compression
本文将霍夫曼编码、算术编码、 lzw算法等通用数据压缩技术应用到计算机屏幕图像压缩中，并提出了专门用于计算机屏幕图像压缩的矩形块图像压缩算法。 |
| 8. | Theoretically , fractal dimension has powerful ability to classify image blocks , which results in big speed - up ratio in fractal encoding ; and fractal dimension is a continuous value , which enables us to adjust the quality of decoded images by changing the number of classes
在理论上，由于这种维数具有很好的分类能力，使得这种方法可取得很大的加速比；由于这种维数是连续量，还可通过改变分类数目来调节解码图像的质量。 |
| 9. | Due to complexity of images in realistic world , objects in image blocks mutually . besides , during the creation of photograph , noise are introduced and objects are distorted under perspective transformation . the existing approaches to recognize objects exhibit obvious limitation
由于现实世界的图像十分丰富，图像中物体互相遮挡，而且在图像生成过程中，不仅引入了大量的噪声，同时物体的图像也发生了透视变形，因此目前所提出的许多方法都存在很大的局限性。 |
| 10. | Theoretically , this quadrature can classify image blocks effectively , which bring out big speed - up ratio in fractal encoding ; and this feature is a continuous value , which enables us to adjust the quality of decoded images by changing the number of classes . our experimental results show that , comparing with exhaustive search , when the class number is 25 , we obtain 20 times speed - up ratio , with only image degeneration of 2 . 08db , at the same compression ratio
_ }速比;这种不变量也是连续量，大量的数值实验表明，因此还可通过改变分类数目来调竹解码图像的质量在压缩比相同的前提下，与全局搜索法相比，块分为25类时，可取得约20倍的加速比，而解码质量只相差2 |
