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[Special Effects] VC_ImageProcessing

Description: 《Visual C++数字图像获取、处理及实践应用》杨枝灵、王开等编著。内容：第4章 图像增强（对比度增强、灰度变换法、直方图修整法、图像平滑、图像锐化、伪彩色和假彩色增强）；第5章 图像复原（逆滤波复原、维纳滤波方法）；第6章 图像处理中的正交变换（傅立叶变换、离散余弦变换（DCT）、沃尔什变换、基于特征向量的变换、霍特林（Hotelling）变换、SVD变换、小波变换、Mallat算法）；第7章 图像压缩编码（霍夫曼（Huffman）编码、算术编码、游程编码（Run Length Coding）、位平面编码、预测编码、DPCM、JPEG 2000编码）； 第8章 图像配准 第9章 目标检测与运动检测 第10章 图像形状特征分析（骨架检出、轮廓提取）；第11章 图像分割（边界跟踪、阈值分割区域生长、分裂合并、Canny算子）； 第12章 图像的模式识别-"Visual C digital image acquisition, processing and Practice" YANG Zhi Ling Wang Kai edited. Contents : Chapter 4 Image Enhancement (contrast enhancement, gray transform, histogram dressing, image smoothing, sharpening, Pseudo-color and false color enhancement); Chapter 5 of Image Restoration (inverse filter rehabilitation, Wiener filtering method); Chapter 6 of image processing orthogonal transformation (Fourier transform, discrete cosine transform (DCT), the Walsh transform, Based on the eigenvectors of transformation, Hotelling (Hotelling) transform, SVD transform, wavelet transform, Mallat algorithm); Chapter 7 Image Coding (Hoffman (Huffman) coding, arithmetic coding, RIc (Run Length Coding), the bit-plane coding, predictive coding, DPCM. JPEG 2000 encoding); Chapter 8 Image
Platform: | Size: 280370 | Author: 陈镇静 | Hits:

[Special Effects] VC_ImageProcessing

Description: 《Visual C++数字图像获取、处理及实践应用》杨枝灵、王开等编著。内容：第4章 图像增强（对比度增强、灰度变换法、直方图修整法、图像平滑、图像锐化、伪彩色和假彩色增强）；第5章 图像复原（逆滤波复原、维纳滤波方法）；第6章 图像处理中的正交变换（傅立叶变换、离散余弦变换（DCT）、沃尔什变换、基于特征向量的变换、霍特林（Hotelling）变换、SVD变换、小波变换、Mallat算法）；第7章 图像压缩编码（霍夫曼（Huffman）编码、算术编码、游程编码（Run Length Coding）、位平面编码、预测编码、DPCM、JPEG 2000编码）； 第8章 图像配准 第9章 目标检测与运动检测 第10章 图像形状特征分析（骨架检出、轮廓提取）；第11章 图像分割（边界跟踪、阈值分割区域生长、分裂合并、Canny算子）； 第12章 图像的模式识别-"Visual C digital image acquisition, processing and Practice" YANG Zhi Ling Wang Kai edited. Contents : Chapter 4 Image Enhancement (contrast enhancement, gray transform, histogram dressing, image smoothing, sharpening, Pseudo-color and false color enhancement); Chapter 5 of Image Restoration (inverse filter rehabilitation, Wiener filtering method); Chapter 6 of image processing orthogonal transformation (Fourier transform, discrete cosine transform (DCT), the Walsh transform, Based on the eigenvectors of transformation, Hotelling (Hotelling) transform, SVD transform, wavelet transform, Mallat algorithm); Chapter 7 Image Coding (Hoffman (Huffman) coding, arithmetic coding, RIc (Run Length Coding), the bit-plane coding, predictive coding, DPCM. JPEG 2000 encoding); Chapter 8 Image
Platform: | Size: 280576 | Author: 陈镇静 | Hits:

[Documents] 3

Description: 摘要:为了提高图像复原算法的性能 ,提出了一种改进的奇异值分解法估计图像的点扩散函数。从图像的退化离散模型 出发 ,对图像进行逐层分块奇异值分解 ,并自动选取奇异值重组阶数以减少噪声对估计的影响。利用理想图像奇异值向 量平均能谱指数模型 ,估计点扩散函数奇异值向量的频谱 ,再反傅里叶变换得到其时域结果。实验结果表明 ,该方法能 在不同信噪比情况下估计成像系统的点扩散函数 ,估计结果比原有估计方法有所提高 ,有望为图像复原算法的预处理提 供一种有效的手段。-Abstract : To improve the performance of image restoration algorithms , a modified Singular Value De2 [ ] [ ] composition SVD method was proposed to estimate the Point Spread Function PSF of an imaging system. Using the discrete image degradation model , a block2based SVD filter scheme was applied for the image denoising with an automatically determined singular value rank. After the spectra of PSF singular vectors were estimated under an exponential model for the averaged spectra of un2degraded image singular vectors , the IFFT was used to get the time2domain estimation of the PSF. The experi2 mental results show that this proposed method can be applied to estimate the PSF of the imaging sys2 tem under a wide SNR range and its performance is better than the original method. It may be used as an effective method for the image preprocessing in image restoration problems. [ ] Key words: image restoration Point Spread Function PSF block2based Singular Value Decomposi2
Platform: | Size: 476160 | Author: zy | Hits:

[Wavelet] 41695066wienerfilter2

Description: 内容：第4章 图像增强（对比度增强、灰度变换法、直方图修整法、图像平滑、图像锐化、伪彩色和假彩色增强）；第5章 图像复原（逆滤波复原、维纳滤波方法）；第6章 图像处理中的正交变换（傅立叶变换、离散余弦变换（DCT）、沃尔什变换、基于特征向量的变换、霍特林（Hotelling）变换、SVD变换、小波变换、Mallat算法）；第7章 图像压缩编码（霍夫曼（Huffman）编码、算术编码、游程编码（Run Length Coding）、位平面编码、预测编码、DPCM、-Content: Chapter 4 image enhancement (contrast enhancement, gray-scale transformation method, histogram trimming method, image smoothing, image sharpening, pseudo-color and false color enhancement) Chapter 5 Image Restoration (inverse filter restoration, Wiener filter method ) Chapter 6 Image Processing orthogonal transformation (Fourier transform, discrete cosine transform (DCT), Walsh transform, eigenvector-based transformation, Hotelling (Hotelling) transform, SVD transform, wavelet transform, Mallat algorithm) Chapter 7 Image Coding (Hoffman (Huffman) coding, arithmetic coding, RLE (Run Length Coding), bit-plane coding, predictive coding, DPCM,
Platform: | Size: 1024 | Author: eric | Hits:

[Special Effects] xinxilun

Description: 《Visual C++数字图像获取、处理及实践应用》杨枝灵、王开等编著。内容：第4章 图像增强（对比度增强、灰度变换法、直方图修整法、图像平滑、图像锐化、伪彩色和假彩色增强）；第5章 图像复原（逆滤波复原、维纳滤波方法）；第6章 图像处理中的正交变换（傅立叶变换、离散余弦变换（DCT）、沃尔什变换、基于特征向量的变换、霍特林（Hotelling）变换、SVD变换、小波变换、Mallat算法）；第7章 图像压缩编码（霍夫曼（Huffman）编码、算术编码、游程编码（Run Length Coding）、位平面编码、预测编码、DPCM、JPEG 2000编码）；第8章 图像配准 第9章 目标检测与运动检测 第10章 图像形状特征分析（骨架检出、轮廓提取）；第11章 图像分割（边界跟踪、阈值分割区域生长、分裂合并、Canny算子）；第12章 图像的模式识别 -"Visual C++ digital image acquisition, processing and practical application," Yoji Ling, WANG Kai, eds. Contents: Chapter 4, image enhancement (contrast enhancement, gray level transformation, histogram trimming, image smoothing, image enhancement, false color and false color enhancement) Chapter 5 Image restoration (inverse filtering restoration, Wiener filter ) Chapter 6 Image Processing orthogonal transformation (Fourier transform, discrete cosine transform (DCT), Walsh transform, feature vector-based transform, Hotelling (Hotelling) transform, SVD transform, wavelet transform, Mallat algorithm ) Chapter 7 image coding (Huffman (Huffman) coding, arithmetic coding, RLE (Run Length Coding), bit plane coding, predictive coding, DPCM, JPEG 2000 encoding) Chapter 8 image registration section 9 Target Detection and Motion Detection Chapter Chapter 10, Image Shape Analysis (skeleton detection, contour extraction) Chapter 11 of the image segmentation (boundary tracking, segmentation, r
Platform: | Size: 3454976 | Author: chengshuai | Hits:

[Special Effects] ImageProcessing-8.0

Description: 基于VC的图像处理程序 1.空间域灰度变化（线性、非线性）、直方图均衡化以及规格化； 2.空间域的噪音（椒盐、脉冲、高斯噪音等），均值滤波、中值滤波，最大值滤波； 3.频率域的巴斯沃通高低通滤波，余弦变换，walsh变换，SVD编码等； 4.简单的图形编码（hufman编码、香农编码、Golomb编码、算术编码）； 5.简单图像复原，涉及逆滤波和维纳滤波； 6.图像分割（这里只有一个大津阈值分割）。-VC-based image processing program 1. Spatial domain gray change (linear and nonlinear), histogram equalization and normalization 2. Spatial domain noise (salt and pepper, pulse, Gaussian noise, etc.), mean filtering, median filtering , maximum filtering 3. frequency domain Basi Wo pass and low pass filtering, cosine transform, walsh transform, SVD coding 4 simple graphical coding (hufman coding, Shannon coding, Golomb coding, arithmetic coding) 5. simple image restoration, involving inverse filtering and Wiener filtering 6 segmentation (there is only one Otsu threshold segmentation).
Platform: | Size: 5299200 | Author: Wenbo Huang | Hits:

[Special Effects] svdExtractEnergyTest

Description: 测试SVD样本图像还原恢复功能，对图像进行测试时恢复效果较好 SVD分解方法满足能量守恒定理，可以实现有损压缩或者无损的能量提取，适合高精度 运算的场合要求。如何寻找一个提取能量的方法，尽量减少原图像的能量损失？- test SVD sample image to restore function, are tested against the image restoration is good The SVD decomposition method satisfies the principle of conservation of energy, can realize the lossy compression and lossless energy extraction, suitable for high precision operation requirements. How to search for a method to extract energy, reduce the energy loss of the original image?
Platform: | Size: 187392 | Author: mafei863 | Hits:

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