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Vectorquantity
- 优秀的矢量量化源代码，可以很好的应用于图像压缩以及基于内容的图像检索。vc＋＋源代码-outstanding VQ source code can be good for image compression and content-based image retrieval. Vc + + source code
CH3
- L3_1.m: 純量量化器的設計(程式) L3_2.m: 量化造成的假輪廓(程式) L3_3.m: 向量量化器之碼簿的產生(程式) L3_4.m: 利用LBG訓練三個不同大小與維度的碼簿並分別進行VQ(程式) gau.m: ML量化器設計中分母的計算式(函式) gau1.m: ML量化器設計中分子的計算式(函式) LBG.m: LBG訓練法(函式) quantize.m:高斯機率密度函數的非均勻量化(函式) VQ.m: 向量量化(函式) L3
VQ-block-size
- this function perform vector quantization on image by using matlab program -this function perform vector quantization on image by using matlab program ..
VQ
- this function perform vector quantization on the image by using matlab program -this function perform vector quantization on the image by using matlab program ..
pso-image-vq
- 提出一种基于粒子群优化算法的图像矢量量化码书设计算法. 该算法引入粒子群的全局搜索策略 , 结合矢量量化码书设计方法 , 增加了算法解的随机性和多样性.-Proposed based on particle swarm optimization algorithm for image vector quantization codebook design algorithm. The introduction of particle swarm algorithm global search s
module-1
- ector quantization is a classical quantization technique from signal processing which allows the modeling of probability density functions by the distribution of prototype vectors. It was originally used for data compression. It works by dividing a l
octr-(1)
- Vector quantization (VQ) is one of the lossy data compression techniques[1], [2] and has been used in number of applications, like pattern recognition [3], speech recognition and face detection [4], [5], image segmentation [6-9], speech data
PCA_generic_function
- A variety of encoding methods are available in literature: Partial Distortion search (PDS)[23], nearest neighbor search algorithm based on orthonormal transform (OTNNS) [24]. Partial Distortion Elimination (PDE) [25], Kekre’s fast search algo
Locality-constrained Linear Coding for Image Classification
- Locality-constrained Linear Coding (LLC) in place of the VQ coding in traditional SPM. LLC utilizes the locality constraints to project each descr iptor into its local-coordinate system, and the projected coordinates are integrated by max pooling to