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2009_Image_Compression_Algorithm_of_SPIHT_Based_on
- 一種基于塊樹結構的SPIHT數字圖像壓縮算法: 在分析圖像經過小波變換后所具有的特性的基礎上,提出了一種改進的SPIHT算法.由于低頻系數占據圖像的百分之九十以上的能量,在圖像的重構中十分重要,所以,對這些系數不進行壓縮而直接傳輸 而最高頻系數相對不重要,所以不做處理,只在圖像重構時以指定的數值予以重構,因此不僅提高了圖像的質量,同時提高了圖像的壓縮率.在具體的算法中,提出了塊樹的結構,減少了算法所需的內存,拓寬了算法的應用范圍.-A tree structure based on the SP
ANAFDLLI
- Segmentation of structure in medical images is an important research topic. It has applications in patient diagnoses, image-guided surgery, and medical data visualization. One approach to solving this problem is the use of active contours or \s
DCT
- 将一个512×512的lena.bmp图像进行DCT变换，对得到的DCT系数按8×8块进行分层（分三层），重组填充得到新的系数矩阵，结果发现原图像的能量集中在了新图像的左上角低频部分。-The lena.bmp an image of 512 × 512 is subjected to DCT transform, the DCT coefficients obtained by layering 8 × 8 block (of three), to obtain a new recombina
energygray1
- 计算视频图像中每一帧的能量,matlab 代码，可以用于分析图像原能量与编码解码后，误差与原图像能量的倍数关系-computing the energy of each frame in image processing
Matlab_Code_TAFGLSE_ISCIDE_2013
- Texture-Aware Fast Global Level Set Evolution-Due to its intrinsic advantages such as the ability to automatically handle complex shapes and topological changes, the level set method has been widely used in image segmentation. Nevertheless, in additi
224071252zuixinwenzhang
- 离散余弦变换(DCT)是一种常用的数字速率变换编码方法。DCT首先将整个图像分割成n×n像素块,然后在n×n像素块上逐帧执行DCT变换。由于图像的高频成分很小,与高频分量对应的系数通常为零,肉眼对高频分量的变化并不敏感, 因此,我们使会用简洁的定量方法。因此,数字传输系数的速率远小于用于传输图像像素的数字速率。到达接收机后,逆离散余弦变换返回到样本值。虽然会有一定的失真,但人眼是可以接受的。(The coefficients of the DCT domain motion compensati