Description: 霍夫曼（Huffman）编码算法是满足前缀条件的平均二进制码长最短的编码算法。本文用Matlab语言编程实现了霍夫曼（Huffman）编码,并有详细的word说明-Hoffman (Huffman) coding algorithm is to satisfy the conditions of the average prefix length the shortest binary code coding algorithm. In this paper, Matlab programming language to achieve the Hoffman (Huffman) encoding, and a detailed description of the word Platform: |
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Description: 摘 要
文章以空间监控系统为背景,深入研究了JPEG图像压缩标准的实现方法,并基于FPGA对其进行了实现和优化。文中给出了详细的实现方法和优化过程,测试表明达到了很好的效果。
简单介绍了有损静态图像压缩当前有两种比较流行的标准JPEG和JPEG2000。说明了用JPEG方法压缩的原因。
介绍JPEG基本原理：JPEG对灰度图像的压缩处理过程主要包括:图像分割,离散余弦变换(DCT),量化(Quantization),“Z”形排序(Zigzag Scan),差分脉冲编码调制(Differential Pulse Code Modulation,DPCM)对直流系数(DC),行程长度编码(Run-Length Encoding,RLE)对交流系数(AC),霍夫曼(Huffman)编码等。
JPEG标准的特点是离散余弦变换。
比较详细介绍压缩系统的构成和实现。实现提及步骤， JPEG压缩模块设计和编码模块实现细节。
-Abstract
Article in the space monitoring system for the background, in-depth study of the JPEG image compression standard implementation methods and carried out based on FPGA implementation and optimization. In this paper, a detailed method of implementation and optimization of the process, testing showed that to achieve good results.
Easy introduction of harmful static image compression has two kinds of comparisons that the current popular standard JPEG and JPEG2000. Illustrated by the reasons for JPEG compression method.
JPEG introduce the basic principles: JPEG compression of gray-scale image processing include: image segmentation, discrete cosine transform (DCT), quantization (Quantization), "Z"-shaped sort (Zigzag Scan), differential pulse code modulation (Differential Pulse Code Modulation, DPCM) on the DC coefficient (DC), Run Length Encoding (Run-Length Encoding, RLE) of the exchange coefficient (AC), Hoffman (Huffman) coding.
JPEG standard is characterized by discrete Platform: |
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Description: ) Compression using huffman code
-with a number of bits k per code word
-provide huffman table
Huffman coding is optimal for a symbol-by-symbol coding with a known input probability distribution.This technique uses a variable-length code table for encoding a source symbol. The table is derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol .Huffman coding uses a specific method for representing each symbol, resulting in a prefix code that expresses the most common characters using shorter strings of bits than those used for less common source symbols.The Huffman coding is a procedure to generate a binary code tree.
-) Compression using huffman code
-with a number of bits k per code word
-provide huffman table
Huffman coding is optimal for a symbol-by-symbol coding with a known input probability distribution.This technique uses a variable-length code table for encoding a source symbol. The table is derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol .Huffman coding uses a specific method for representing each symbol, resulting in a prefix code that expresses the most common characters using shorter strings of bits than those used for less common source symbols.The Huffman coding is a procedure to generate a binary code tree.
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Description: 霍夫曼编码程序 对给定的概率 生成霍夫曼编码 希望大家给点意见-Huffman encoding procedure to generate the probability of a given Huffman code to the point I hope everyone Platform: |
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Description: 给予matlab的JPEG压缩程序，包含原始压缩图片，程序对灰度bmp图片进行JEPG编码，压缩成以0101形式的编码。JPEG编码先把图象色彩RBG变成亮度Y和色度Cr、Cb，它利用人的视觉对色度不敏感的特点，减少一部分色度数据，以达到压缩。 JPEG采取多种编码方式，包含有行程编码(Run Length Coding)和哈夫曼(Huffman)编码，有很高的压缩比。在编码前，先对数据进行分块，离散余弦变换（DCT）及量化，保留能量大的低频信号，丢弃高频信号以达到压缩。-Given to the JPEG compression matlab program, contains the original compressed image, the program of the grayscale bmp picture JEPG encoded, compressed into a 0101 form of encoding. RBG color coded JPEG image into a first luminance Y and chrominance Cr, Cb, which uses the human visual characteristics is not sensitive to the color, reduce the number of color data to achieve compression. Take a variety of JPEG encoding, includes length coding (Run Length Coding) and Huffman (Huffman) coding, a high compression ratio. In the code before the data block, discrete cosine transform (DCT) and quantization, to retain a large low-frequency signal energy, discarding high-frequency signals in order to achieve compression. Platform: |
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Description:
第一章作业：
用C语言或者VC，VB，Matlab或其他语言完
成如下实验：
1）打开一个BMP文件
2）将其局部区域的灰度值进行改变
3）另存为一个新的BMP文件
要求显示出原BMP图像和新BMP图像。
1。打开一幅图像，添加椒盐、高斯噪声，然后使用邻域平均法、中值滤波法、K邻近平均法进行平滑。
2。打开一幅图像，利用Roberts梯度法、Sobel算子和拉普拉斯算子进行锐化，并比较结果。
第五章作业
编写一个程序，对输入的图像进行哈夫曼编码，显示原图像的熵、编码后的平均码字长度、并能够根据编码重建出图像。
在图像中生成一个矩形，然后用模板匹配法找出矩形位置。使用SSDA或改进SSDA法。
第五章作业
编写一个程序，对输入的图像进行哈夫曼编码，显示原图像的熵、编码后的平均码字长度、并能够根据编码重建出图像。
-Chapter operations: in C or VC, VB, Matlab or other languages to complete the following experiment: 1) open a BMP file 2) the gray value of its local area to change 3) Save as a new requirements display BMP files the original BMP image and the new BMP image. 1. Open an image, add salt and pepper, Gaussian noise, and then use the neighborhood average, median filtering, K adjacent average smoothing. 2. Open the image using the Roberts gradient, Sobel operator and Laplacian sharpening, and compare the results. Chapter operations to write a program, the input image Huffman, display the original image entropy encoded average code word length, and be able to reconstruct the image according to encoding. Generate a rectangle in the image, then use template matching to identify position of the rectangle. Or improved using the SSDA SSDA method. Chapter operations to write a program, the input image Huffman, display the original image entropy encoded average code word length, and be Platform: |
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Description: The goal of this program is to demonstrate the construction of a huffman encoding tree. The tree is represented as a binary tree using MATLAB s built in treeplot commands. Contruction of the tree as well as the huffman code book will be described in later sections. Platform: |
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Description: 通信的数字化是它能与计算机技术和数字信号处理技术相结合的基础，而实现通信数字化的前提是信源能提供的各种用于传递的消息，例如语音、图像、数据、文字等都必须以数字化形式表示。而信源编码是数字通信系统中的重要组成部分，他是保证信号有效传输的一种重要方式。霍夫曼编码依据字符出现的概率来构造异字头的平均长度最短的码字，有时称之为最佳编码，其优越的性能被广泛使用在数字通信系统中。霍夫曼编码已经成为数据压缩的灵魂算法。本文介绍了无失真编码算法的构造，霍夫曼编码的规则和特点，同时分析了对信源进行优化的方法，最后通过MATLAB仿真来讨论比较二元霍夫曼编码、三元霍夫曼编码以及信源扩展编码的效率，来实现霍夫曼码的优化构造。-The digital communication is it can and computer technology and digital signal processing technology in combination of the base, and realize the digital communication is the premise of source can provide all kinds of used to deliver news, such as voice, video and data and text must take the digital form said. And the source coding digital communication system is the important component, he is to ensure the effective transmission signal is an important way. Huffman coding based on the probability of characters appear to construct different "the average length of the shortest code words, sometimes called the best coding, superior performance is widely used in digital communication system. Huffman coding has become the soul of data compression algorithm. This paper introduces the structure of the encoding algorithm without distortion, Huffman coding rules and characteristics, and analysis of the source of the optimization method, and finally by MATLAB simulation to discuss compares two yu Platform: |
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Description: The goal of this program is to demonstrate the construction of a huffman encoding tree.
The tree is represented as a binary tree using MATLAB s built in treeplot commands.
Contruction of the tree as well as the huffman code book will be described in later sections-The goal of this program is to demonstrate the construction of a huffman encoding tree.
The tree is represented as a binary tree using MATLAB s built in treeplot commands.
Contruction of the tree as well as the huffman code book will be described in later sections Platform: |
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Description: 要求对一段数据序列进行哈夫曼编码，使得平均码长最短，输出各元素编码和编码后的数据序列。
①组成序列的元素是[0-9]这10个数字，每个数字其对应的4位二进制数表示。比如5对应0101，9对应1001。
②输入数据序列的长度为256。
③先输出每个元素的编码，然后输出数据序列对应的哈夫曼编码序列。(Design a 1MHz FIR low pass filter.
Huffman coding is required for a section of data sequence to make the average code length the shortest, and the output of each element encoding and the encoded data sequence.
The elements of the sequence are the 10 Numbers [0-9], each of which corresponds to a 4-bit binary representation.
Let's say 5 is equal to 0101, and 9 is equal to 1001.
The length of the input data sequence is 256.
First output the encoding of each element, and then output the data sequence corresponding Huffman coding sequence.
Requirements:
(1) clock signal frequency 16MHz;
(2) input signal bit width of 8bits, symbol rate of 16MHz
Requirements in Matlab FIR filter floating-point and fixed-point simulation, and determine the FIR filter tap coefficient
(4) write the test simulation program.) Platform: |
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