Description: 本代码为采用小波基进行图像压缩的代码程序，压缩率可以达到1/32。采用vc编写。-code for the use of wavelet image compression code procedures, compression ratio can reach 1 / 32. Prepared using vc. Platform: |
Size: 100351 |
Author:任桢 |
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Description: 本代码为采用小波基进行图像压缩的代码程序，压缩率可以达到1/32。采用vc编写。-code for the use of wavelet image compression code procedures, compression ratio can reach 1/32. Prepared using vc. Platform: |
Size: 100352 |
Author:任桢 |
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Description: Visual C++开发环境，完成图像的小波变换功能和滤波功能，可在此基础之上完成图像的压缩等工作-Visual C++ Development environment, complete the image wavelet transform function and filtering function can be completed on this basis image compression, etc. Platform: |
Size: 3697664 |
Author:Alan |
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Description: MATLAB下通过多种小波实验了解小波变换的原理教程及示例代码
包括的多个示例源代码有：一维线性非线性近似、二维线性非线性近似、使用线性滤波过滤噪声、使用小波门限消除噪声、使用小波变换压缩一维信号、二维小波图像压缩等等。
-Under MATLAB wavelet through a variety of experiments to understand the principle of wavelet transform tutorial and sample code included in the source code has a number of examples: a linear one-dimensional non-linear approximation, nonlinear two-dimensional linear approximation, the use of linear filtering filter noise, the use of wavelet thresholding to eliminate noise, the use of one-dimensional wavelet transform compressed signal, two-dimensional wavelet image compression and so on. Platform: |
Size: 4382720 |
Author:aaa |
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Description: 基于小波变换的图像压缩编码，实现了多种小波变换，并且实现了12:1的高压缩率。-Based on Wavelet Transform Image Coding, to achieve a variety of wavelet transform, and achieved a high 12:1 compression ratio. Platform: |
Size: 178176 |
Author:徐鹏 |
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Description: hi this the code for image compression using different transoformation coding algorithms in wavelets,that is all wavelets-hi this is the code for image compression using different transoformation coding algorithms in wavelets,that is all wavelets Platform: |
Size: 4620288 |
Author:durga |
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Description: 基于小波变换的图像压缩代码，包括压缩比、运行时间和计算复原图像的峰值信噪比-Image compression based on wavelet transform code, including compression ratio, operation time and recovery images of the peak signal to noise ratio calculation Platform: |
Size: 413696 |
Author:刘灿 |
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Description: The following implementation steps have been made for the devised algorithm, which is based on 2D-wavelet.
1. Reading an image of either gray scale or RGB image.
2. Converting the image into grayscale if the image is RGB.
3. Decomposition of images using wavelets for the level N.
4. Selecting and assigning a wavelet for compression.
5. Generating threshold coefficients using Birge-Massart strategy.
6. Performing the image compression using wavelets.
7. Computing and displaying the results such as compressed image, retained energy and Zero coefficients.
8. Decompression the image based on the wavelet decomposition structure.
9. Plotting the reconstructed image.
10. Computing and displaying the size of original image, compressed image and decompressed image. Platform: |
Size: 1024 |
Author:fer |
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Description: 主要用于图像经小波变换压缩图像，并计算压缩后的图像压缩性能即压缩比和信噪比-Mainly used for image compression by wavelet transform image, and calculate the compressed image compression performance that the compression ratio and signal to noise ratio Platform: |
Size: 2048 |
Author:唐宁 |
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Description: an introduction to wavelets
-Wavelets are mathematical functions that cut up data into di® erent frequency components,
and then study each component with a resolution matched to its scale. They have advantages
over traditional Fourier methods in analyzing physical situations where the signal contains
discontinuities and sharp spikes. Wavelets were developed independently in the ¯ elds of mathematics,
quantum physics, electrical engineering, and seismic geology. Interchanges between these ¯ elds
during the last ten years have led to many new wavelet applications such as image compression,
turbulence, human vision, radar, and earthquake prediction. This paper introduces wavelets to the
interested technical person outside of the digital signal processing ¯ eld. I describe the history of
wavelets beginning with Fourier, compare wavelet transforms with Fourier transforms, state properties
and other special aspects of wavelets, and ¯ nish with some interesting applications such as
image comp Platform: |
Size: 345088 |
Author:same |
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Description: This paper presents a new coding technique based on
contourlet transform and multistage vector
quantization. Wavelet based Algorithms for image
compression results in high compression ratios
compared to other compression techniques. Wavelets
have shown their ability in representing natural
images that contain smooth areas separated with
edges. Platform: |
Size: 1282048 |
Author:yen |
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Description: Wavelet transforms and other multi-scale analysis functions have been used for compact signal and image representations in denoising, compression and feature detection processing problems for about twenty years. Numerous research works have proven that space-frequency and spacescale expansions with this family of analysis functions provided a very efficient framework for signal or image data.
-Wavelet transforms and other multi-scale analysis functions have been used for compact signal and image representations in denoising, compression and feature detection processing problems for about twenty years. Numerous research works have proven that space-frequency and spacescale expansions with this family of analysis functions provided a very efficient framework for signal or image data.
Platform: |
Size: 1091584 |
Author:serhius |
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Description: PERCEPTUAL OPTIMIZATION OF WAVELET IMAGE COMPRESSION
NASA’s extensive image compression requirements may be met in part by the use
of wavelet techniques.1 Wavelets form a large class of signal and image transforms,
generally characterized by decomposition into a set of self-similar signals that vary
in scale and (in 2D) orientation.2 The Discrete Wavelet Transform (DWT) is a
particular member of this family which operates on discrete sequences, and which
has proven to be an effective tool in image compression. Platform: |
Size: 58368 |
Author:hussam |
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Search - wavelets image compression