Description: 直接减压到matlab\\work目录下就可以看到运行结果了，其中包括了位平面分解，量化嵌入（提取），图像的金字塔分解等的程序块。-decompression directly to the Matlab \\ work on the directory can see the results, which included a bit plane decomposition, quantification embedded (extraction), the image of the pyramid decomposition of the block. Platform: |
Size: 333140 |
Author:yj |
Hits:
Description: Matlab实现图像压缩与重构步骤
① 对图像进行小波分解，得到第一层分解的低频系数和高频系数。
② 保留低频系数，对高频系数进行基于神经网络的矢量量化编码，达到压缩。
③ 根据码书以w还原高频系数
④ 根据保留的低频系数和还原的高频系数重构图像
-Matlab realization image compression and the heavy
construction step (1) pair of picture carries on the wavelet to
decompose, obtains the first decomposition the low frequency
coefficient and the high frequency coefficient. (2) Retains the low
frequency coefficient, carries on to the high frequency coefficient
based on the nerve network vector quantification code, achieves the
compression. (3) To w returns to original state the low frequency
coefficient according to the code book and the return to original
state high frequency coefficient heavy composition which the high
frequency coefficient (4) basis retains likes Platform: |
Size: 19961 |
Author:王危结 |
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Description: This paper presents a novel segmentation algorithm for metallographic images, especially those objects without regular boundaries and homogeneous intensity. In metallographic quantification, the complex microstructures make the conventional approaches hard to achieve a satisfactory partition. We formulate the segmentation procedure as a new framework of iterative watershed region growing constrained by the ridge information. The seeds are selected by an effective double-threshold approach, and the ridges are superimposed as the highest waterlines in watershed transform. To tackle the over-segmentation problem, the blobs are merged iteratively with the utilization of Bayes classification rule. Experimental results show that the algorithm is effective in performing segmentation without too much parameter tuning. Platform: |
Size: 712264 |
Author:jjrs05 |
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Description: 直接减压到matlab\work目录下就可以看到运行结果了，其中包括了位平面分解，量化嵌入（提取），图像的金字塔分解等的程序块。-decompression directly to the Matlab \ work on the directory can see the results, which included a bit plane decomposition, quantification embedded (extraction), the image of the pyramid decomposition of the block. Platform: |
Size: 332800 |
Author:yj |
Hits:
Description: Matlab实现图像压缩与重构步骤
① 对图像进行小波分解，得到第一层分解的低频系数和高频系数。
② 保留低频系数，对高频系数进行基于神经网络的矢量量化编码，达到压缩。
③ 根据码书以w还原高频系数
④ 根据保留的低频系数和还原的高频系数重构图像
-Matlab realization image compression and the heavy
construction step (1) pair of picture carries on the wavelet to
decompose, obtains the first decomposition the low frequency
coefficient and the high frequency coefficient. (2) Retains the low
frequency coefficient, carries on to the high frequency coefficient
based on the nerve network vector quantification code, achieves the
compression. (3) To w returns to original state the low frequency
coefficient according to the code book and the return to original
state high frequency coefficient heavy composition which the high
frequency coefficient (4) basis retains likes Platform: |
Size: 19456 |
Author:王危结 |
Hits:
Description: 我自己做的图像量化程序，还不太成熟。可以将指定图像颜色数减少，并用符号表示每个颜色。-To do my own image quantification procedures, is also not mature enough. Can reduce the number of designated color images, and symbols that represent each color. Platform: |
Size: 109568 |
Author:zhaochundong |
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Description: 实现了小波的图像量化，包括均匀量化，WSQ标准量化，k均值矢量量化，附简明pdf报告。-Implementation of wavelet image quantification, including the uniform quantization, WSQ standards for quantification, k means vector quantization, with a concise pdf report. Platform: |
Size: 115712 |
Author:weiqiang |
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Description: retrieval based on color feature has great practical value.
In this paper, the color distribution of endoscope image
in HSV color space is analyzed and a non-even color
quantification method is given, then all the endoscope
images’ color features are extracted. At last three
experiments are designed to prove the validity of these
methods in endoscope image retrieval. Platform: |
Size: 1024 |
Author:rach |
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Description: In this letter,we propose a new image compression method that combines image decomposition,wavelets and 2G bandelets together.-此资料中，我们提出了一种新的图像压缩的方法，就是把图像压缩，小波变换和第二代班德变换结合起来。 Platform: |
Size: 817152 |
Author:周倩倩 |
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Description: 本文提出一种在原始视频DCT(离散余弦变换)与SVD(奇异值分解)域自适应嵌入水印的算法。算法首先将视频流分割成一个个场景,场景中的视频图像被变换到DCT-SVD域中,水印量化嵌入在最大奇异上,实现了水印盲检测。同时实验证明该算法在满足透明性要求下也满足一定的鲁棒性要求,能够抵抗低通滤波、中值滤波、椒盐噪声、高斯噪声、H.264压缩攻击以及统计攻击和帧剪切等攻击。-This paper presents an original video in the DCT (Discrete Cosine Transform) and SVD (singular value decomposition) algorithm for adaptive watermark embedding. Firstly, a video stream is divided into scenes, scenes of the video image is converted to the DCT-SVD domain, the watermark embedded in the largest singular quantification, the realization of the watermark signal. Furthermore, the experiments show that the algorithm meet the transparency requirements are met under certain robustness requirements, can resist the low-pass filtering, median filtering, salt and pepper noise, Gaussian noise, H.264 compression attacks and attacks and frame shear statistics attack. Platform: |
Size: 63488 |
Author:久久 |
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Description: 1.median_filter
(功能:使用中值濾波器去除雜訊)
2.mean_filter
(功能:使用平均濾波器去除雜訊)
3.fl_stein
(功能:使用誤差擴散法,將影像量化和混色)
4.Central_limit
(功能:畫圖並證明中央極限定理)
-1.median_filter
(function: use median filter to remove noise)
2.mean_filter
(function: using the average filter to remove noise)
3.fl_stein
(function: using the error diffusion method, the image quantification and blending)
4. Central_limit
(function: drawing and prove the central limit theorem) Platform: |
Size: 2048 |
Author:timtsai |
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Description: 图像处理，运用计算机对图像数据进行的各种运算。一般包括预处理、图像恢复、图像增强、图像配准、图像分割、采样、量化、图像分类和图像压缩等。1-Image processing, image data use computer to all kinds of operations. General including pretreatment, image restoration, image enhancement, image registration, image segmentation, sampling, quantification, image classification and image compression, etc.
1 Platform: |
Size: 2048 |
Author:gaowenjuan |
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Description: 二维图像信号的去噪步骤：
（1）二维图像信号的小波分解。选择合适的小波与恰当的分解层次N，并对待压缩的二维图像信号进行N层分解计算。
（2）对分解后的每一层高频系数，选择一个恰当的阈值，并对该层高频系数进行软阈值量化处理。
（3）二维图像信号的小波重构。用小波分解后的第N层近似（低频系数）和经过阈值量化处理后的各层细节（高频系数），对二维信号进行小波重构。-Two-dimensional image signal denoising steps: (1) two-dimensional image signal wavelet decomposition. Select the appropriate wavelet decomposition level and the appropriate N, and treatment of compressed N-layer two-dimensional image signal decomposition calculations. (2) of the decomposition of high-frequency coefficients of each layer, select an appropriate threshold, and high-frequency coefficients of the layer of soft threshold quantification. (3) Wavelet two-dimensional image reconstruction. Wavelet decomposition of the first N-layer approximation (low frequency factor) and through the quantification of threshold levels after the details (high frequency coefficients), two-dimensional wavelet reconstruction signal. Platform: |
Size: 4096 |
Author:lujun |
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Description: 基于内容的图像检索技术的关键在于特征提取，是利用图像的颜色、形状、纹理、轮廓、对象的空间关系等客观独立的存在于图像中的基本视觉特征作为图像的索引，计算查询图像和目标图像的相似距离，按相似度匹配进行检索。综合国内外研究现状，可将基于内容的图像检索技术分为如下几种类型:基于颜色特征的检索、基于纹理特征的检索、基于形状及区域的检索、基于空间约束关系的检索。-Based on comparing various affine invariant regional basis, selection of image stabilization exremum area biggest content segmentation and extraction. It has the affine invariants, the neighboring territory, stability and multi-scale characteristics, but also because of regional only by grey value of decision, so the size relations is not sensitive illumination change. In images all the pixel, then through sorting for barrel separated binary tree forest-- set the extreme area all obtained images and construct component tree, finally through the biggest stable delay-independent conditions MSER area is MSER, obtain the area without rules boundary shape of its, in order to facilitate to quantification description, using covariance matrix region neat optimization, made the final output of extreme value for the oval areas regional. Platform: |
Size: 2584576 |
Author:陈利华 |
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Search - quantification image