huffman-code

Storing table of codes in a compressed file after Huffman compression and building tree for decompression from this table

别来无恙 提交于 2019-12-02 23:10:18
问题 I was writing a program of Huffman compression using C++ but I faced with a problem of compressed file's structure. It needs to store some structure in my new file that can help me to decode this file. I decided to write a table of codes in the beginning of this file and then build a tree from this table to decode the next content, but I do not know in which way it is better to store the table (I mean I do not know structure of the table, I know how to write things in binary mode) and how to

Storing table of codes in a compressed file after Huffman compression and building tree for decompression from this table

梦想的初衷 提交于 2019-12-02 13:05:49
I was writing a program of Huffman compression using C++ but I faced with a problem of compressed file's structure. It needs to store some structure in my new file that can help me to decode this file. I decided to write a table of codes in the beginning of this file and then build a tree from this table to decode the next content, but I do not know in which way it is better to store the table (I mean I do not know structure of the table, I know how to write things in binary mode) and how to build the tree from this table. Sorry for my English. Thank you in advance. You could try writing a

Using Huffman coding to compress images taken by the iPhone camera

a 夏天 提交于 2019-12-02 06:31:15
Im thinking to use the Huffman coding to make an app that takes pictures right from the iPhone camera and compress it. Would it be possible for the hardware to handle the complex computation and building the tree ? In other words, is it doable? Thank you If you mean the image files (like jpg, png, etc), then you should know that they are already compressed with algorithms specific to images. The resulting files would not huffman compress much, if at all. If you mean that you are going to take the UIImage raw pixel data and compress it, you could do that. I am sure that the iPhone could handle

Valid Huffman Codes?

霸气de小男生 提交于 2019-12-02 03:42:47
I'm trying to solve a Huffman Coding problem, but I'm not completely sure I understand the topic completely. I am trying to figure out if the following are is a valid Huffman Code: A: 0 B: 01 C: 11 D: 110 E: 111 What I'm thinking is that it is not valid, because A, or 1, would infringe on B, or 01. I'm not positive though. Could someone enlighten me on this? Edit: I'm sorry I meant to type A as 0 and not 1. No. A Huffman code is a prefix code, which means that no code can be a prefix of any other code. In your example, A is a prefix of B, and C is a prefix of both D and E. A valid prefix code

Bitstream of variable-length Huffman codes - How to write to file?

Deadly 提交于 2019-12-02 03:04:19
问题 I'm working on a Huffman coding/decoding project in C and have a good understanding of how the algorithm should store information about the Huffman tree, re-build the tree during decoding, and decompress to the original input file using variable-length codes. When writing to my compressed file, I will output a table of 256 4-byte integers containing unique frequencies, and I know I will also have to figure out a way to handle EOF - worrying about that later. My question is how should I

Bitstream of variable-length Huffman codes - How to write to file?

天大地大妈咪最大 提交于 2019-12-02 00:16:02
I'm working on a Huffman coding/decoding project in C and have a good understanding of how the algorithm should store information about the Huffman tree, re-build the tree during decoding, and decompress to the original input file using variable-length codes. When writing to my compressed file, I will output a table of 256 4-byte integers containing unique frequencies, and I know I will also have to figure out a way to handle EOF - worrying about that later. My question is how should I complete the necessary bit-wise operations to write a stream of variable-length codes to a series of 1-byte

Huffman encoding - header & EOF

偶尔善良 提交于 2019-12-01 10:59:51
I am currently working on implementing a program based on the huffman algorithm in Java, and I am at the stage where I need to output the encoded content to a file. I am a bit confused about how to implement the header and eof needed for decoding. For my header at the moment I have all the unique values that occur from the input file and their frequency, but on some articles I have seen people do it with 0 or 1 represents the nodes and then the frequency (which I am a bit puzzled by as it doesn't say what the symbol is). Also, for the EOF as I understand it I encode it like the symbols so it

need help on how to encode words using huffman code

天涯浪子 提交于 2019-12-01 09:10:52
how do you encode words using the huffman code such as NEED Huffman encoding basically uses variable-length bit strings to represent tokens (generally characters with a couple of exceptions). The more common a token is, the shorter it's bit-length is and this is (usually) dynamic as the stream is processed. There are usually two special tokens, ESCAPE and END-STREAM. Encoding maintains a dictionary which is basically a lookup of the bit sequences to get a token. Initially it contains only the two special tokens. The initial bit sequences for ESCAPE and END_STREAM could be 0 and 1 (which is

need help on how to encode words using huffman code

跟風遠走 提交于 2019-12-01 07:02:25
问题 how do you encode words using the huffman code such as NEED 回答1: Huffman encoding basically uses variable-length bit strings to represent tokens (generally characters with a couple of exceptions). The more common a token is, the shorter it's bit-length is and this is (usually) dynamic as the stream is processed. There are usually two special tokens, ESCAPE and END-STREAM. Encoding maintains a dictionary which is basically a lookup of the bit sequences to get a token. Initially it contains

Lossless compression method to shorten string before base64 encoding to make it shorter?

孤人 提交于 2019-11-30 16:50:07
问题 just built a small webapp for previewing HTML-documents that generates URL:s containing the HTML (and all inline CSS and Javascript) in base64 encoded data. Problem is, the URL:s quickly get kinda long. What is the "de facto" standard way (preferably by Javascript ) to compress the string first without data loss? PS; I read about Huffman and Lempel-Ziv in school some time ago, and I remember really enjoying LZW :) EDIT: Solution found; seems like rawStr => utf8Str => lzwStr => base64Str is