Description: Image Compression
A collection of simple routines for image compression using different techniques.
BTCODE:
Image compression Using Block Truncation Coding.
PYRAMID:
Image compression based on Gaussian Pyramids.
DCTCOMPR:
Image compression based on Discrete Cosine Transform.
-Image Compression A collection of simple r outines for image compression using different techniques. BTCODE : Image compression Using Block Truncation Codi Vi. PYRAMID : Image compression based on Gaussian Pyramids. DCTCOMPR : Image compression based on Discrete Cosine trapidil nsform. Platform: |
Size: 9216 |
Author:like |
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Description: Digitized images have replaced analog images as photographs or x-rays in many different fields. In their raw form, digital images require a tremendous memory capacity for storage and large amount of bandwidth for transmission. In the last two decades, many researchers have been devoted to develop new techniques for image compression. More recently, wavelets have become a cutting edge technology for compressing the images by extracting only the visible elements. In this paper a wavelet based image decomposition algorithm has been implemented. Also, a nonuniform threshold technique based on average intensity values of pixels in each sub band has been proposed to remove the insignificant wavelet coefficients in the transformed image. Experimental results are obtained to compare the Daub2, Daub3 and Daub4 compactly supported (Daubechies) orthogonal wavelets on various test images using two important performance parameters – compression ratio and PSNR Platform: |
Size: 281600 |
Author:Sid |
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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: 本书介绍了各种数字图像处理的算法及编程实现技术。全书由13章和一个附录组成。主要内容包括:位图基础、图像的显示、图像的几何变换、图像灰度变换、图像的平滑处理、图像锐化处理及边缘检测、图像分割及测量、图像的形态处理学、图像的变换域处理及应用、图像的合成、24位彩色图像的处理、图像的小波变换和JPIG图像的压缩编码。
本书介绍了近90种图像处理的技术,这些技术与编程实例相结合,提供了VC++编程步骤,图像处理的编程代码,并且处理前的图像可与处理之后的图像对照比较。实例程序的框架结构简单,代码简洁,使初学VC++者很快就能编写图像处理的程序代码。
本书可作为高等院校计算机工程、信息工程、生物医学工程、智能机器人学、工业自动化、模式识别及相关学科的教师、研究生、本科生、专科生的教材或参考书,亦可供有关工程技术人员参考。-This book presents a variety of digital image processing algorithms and programming techniques. Book is composed of 13 chapters and an appendix. The main contents include: the bitmap based image display, image geometric transformation, image gray level transformation, image smoothing, image sharpening and edge detection, image segmentation and measurement, image processing morphological study, the image of the transform domain processing and applications, image synthesis, 24-bit color image processing, the wavelet transform and JPIG image compression.
This book describes nearly 90 kinds of image processing technologies, and programming examples of these technologies combine to provide a VC++ programming steps, image processing, programming code, and handle pre-processed image with the image comparisons. Simple example program framework, the code simple, so beginners can quickly VC++ by writing image processing code.
This book can serve as institutions of higher learning c Platform: |
Size: 25216000 |
Author:微筱柒 |
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Description: Choice of Wavelets for Image Compression
In wavelet-based image coding the choice of wavelets is crucial and determines the coding
performance. Current techniques use computationally intensive search procedures to find the optimal basis (type,
order and tree). In this paper, we show that searching for optimal wavelet does not always offer a substantial
improvement in coding performance over "good" standard wavelets. We propose some guidelines for determining
the need to search for the "optimal" wavelets based on the statistics of the image to be coded. In addition, we
propose an adaptive wavelet packet decomposition algorithm based on the local transform gain of each stage of
the decomposition. The proposed algorithm provides a good coding performance at a substantially reduced
complexity. Platform: |
Size: 76800 |
Author:hussam |
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Description: Demonstration of wavelet decomposition techniques with the statistical language R Including fast wavelet transform usage, wavelet-based compression,filtering, de-noising of an image.- Demonstration of wavelet decomposition techniques with the statistical language R Including fast wavelet transform usage, wavelet-based compression,filtering, de-noising of an image. Platform: |
Size: 3072 |
Author:stefan.petrov.beb |
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Description: Delphi:基于小波的JPEG2000图像压缩技术实例,由Delphi源代码实现,内含了小波动态连接库(vc实现),Delphi可借用这个类库。
首先必须注意的是,在小波变换的时候采用的是串行工作方式
这样一来,对于高速缓存的利用是十分低效率的,却可以节省不少的空间。
BIT.H BIT.C - 是有关比特位操作的代码
WAVELET.H WAVELET.C - 是小波操作的代码
函数输出: 函数返回转换象素的数目
1) Num:需要转换的连续象素的署名女
3)Y, Cb, Cr:同样是指针,分别指向三个结果的存放空间
-Delphi: JPEG2000 wavelet-based image compression techniques instance, achieved by the Delphi source code that contains the wavelet dynamic link library (vc achieve), Delphi can borrow this library.
First, it must be noted that, when the wavelet transform is used in a serial mode of operation
Thus, the use of cache efficiency is very low, it can save a lot of space.
BIT.H BIT.C- is a bit of code related operations
WAVELET.H WAVELET.C- is the code of wavelet operations
Output function: The function returns the number of pixels to convert
1) Num: women need to convert signature consecutive pixels
3) Y, Cb, Cr: same pointer, pointing to three storage space results Platform: |
Size: 441344 |
Author:K87G5RI |
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