KR20160115086A - Real time compressed transferring and decompression of binary stream data by binary cluster - Google Patents

Real time compressed transferring and decompression of binary stream data by binary cluster Download PDF

Info

Publication number
KR20160115086A
KR20160115086A KR1020150042060A KR20150042060A KR20160115086A KR 20160115086 A KR20160115086 A KR 20160115086A KR 1020150042060 A KR1020150042060 A KR 1020150042060A KR 20150042060 A KR20150042060 A KR 20150042060A KR 20160115086 A KR20160115086 A KR 20160115086A
Authority
KR
South Korea
Prior art keywords
binary
transmission
compressed
data
cluster
Prior art date
Application number
KR1020150042060A
Other languages
Korean (ko)
Inventor
김정훈
Original Assignee
김정훈
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 김정훈 filed Critical 김정훈
Priority to KR1020150042060A priority Critical patent/KR20160115086A/en
Publication of KR20160115086A publication Critical patent/KR20160115086A/en

Links

Classifications

    • HELECTRICITY
    • H03ELECTRONIC CIRCUITRY
    • H03MCODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M7/00Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
    • H03M7/30Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

According to the present invention, binary data is rapidly compressed to be transmitted and restored in real time, so a transmission speed is faster than that of compressed division transmission using an existing Huffman manner, and accordingly, a method of the present invention is applicable to a technical field for real-time compressed transmission and restoration. For example, when a certain data file (streaming data or the like) is transmitted using a communication network in real time, transmission costs for compressed transmission is reduced. However, the compressed transmission consumes hardware resources and is decreased in speed upon real-time compressed transmission due to massive amounts of dictionary information when performing dictionary-based compression, and calculation for compression and restoration. The present invention allows remarkably fast compressed transmission and decompression in the transmission as described above. A method for the compressed transmission of data includes the steps of: adding a compulsory block (CH) to an original binary data; dividing the added data using a binary cluster; transmitting a reference symbol number and a reference symbol binary cluster; and generating a universal code to transform the binary cluster into a compressed binary cluster for real-time transmission.

Description

REAL TIME COMPRESSED TRANSFERRING AND DECOMPRESSION OF BINARY STREAM DATA BY BINARY CLUSTER [0002]

The present invention is a technical field related to a compression transmission and recovery method of binary data.

Binary cluster partitioning, data compression transfer

Detailed description of specific embodiments for carrying out the invention

Detailed description of specific embodiments for carrying out the invention

According to the present invention, since binary data can be compressed and transmitted in real time and can be restored very quickly, the transmission speed is much faster than compression division transmission using the conventional Huffman method, so that the present invention is applied to a technical field for real- It is possible.

For example, when a data file (streaming data, etc.) is to be transmitted in real time using a communication network, the transmission cost for performing transmission through compression is reduced. However, in such compression transmission, operations for compression and calculation for restoration, and dictionary information in case of dictionary compression are enormous, so that speed and hardware resources are consumed in real time compression transmission.

The present invention enables compression transmission and decompression to be performed remarkably quickly in this transmission.

For example, if you want to transmit arbitrary binary data of 1503986 bits (JPG file in this embodiment), the following contents are shown in binary form from the beginning as follows.

10111111111001000000000000001000001001000000000000000000100000000000000000001001000000000000010010110000000000000001111111111011011000000000100001100000000000010010000100000100100100100100100100100100001001000001000001000000010010010010010000000000010010000101100001011000010100000100000011 ....

Assuming that it is arbitrary data, if you put "10" before the most significant bit to start with "10", it is as follows. Of course, any type of binary number starting with "10" may be used in addition to "10", but for the efficiency of transmission, add the smallest "10" starting with "10". This added binary number is called a "compulsory block" and is referred to as "CH" in the present invention.

10101111111110010000000000000010000000010000000000000000001000000000000000000001000000000000000100110000000000000001111111110110110000000010010000000000000000100100000010010010010010010010010010010000100100000100100000000010010010010010000000000010010000101100001011000010100000100000011 ....

Now, in the transmission unit, the binary data is divided into binary clusters every time when the CH is scanned in the most significant bit direction from the most significant bit while the data attached thereto is encountered with "10". In the data of this embodiment, 327,156 binary clusters as shown in Table 1 were generated.

Binary cluster 10 10111111111 101 10001111111111 10000000000000000 100000 100 10 100 10001 100 100 100 10 10001 10000000000000000 10000000 10000000 100000000 100 101 1 billion 100 101 10000000000000000000111111111 101 101 1 billion 100001 1000000000000 10 ... .

After the full scan of the transmission data is completed, the type and frequency of the generated binary clusters are generated in the transmission unit, and the generated information is generated by summarizing and sorting in descending frequency order. In this embodiment,

It can be seen that streaming data includes 171 kinds including CH.

First, in the compression transfer part, 171 information is sent to indicate that all data are composed of 171 kinds of binary clusters. The number of reference clusters constituting the whole data is referred to as a reference symbol number in the present invention.

 Then, in Table 171, the binary clusters are successively and sequentially transmitted to the receiving unit. The binary cluster to be initially transmitted is referred to as a reference symbol binary cluster, and data of the following type is transmitted as it is.

 101000101100101110011000000000001011110001 ... 1000111111111111

If the receiving unit sequentially receives the reference symbol binary cluster data, the receiving unit sequentially divides the binary cluster data according to the binary cluster dividing method, and the receiving unit precisely separates the reference symbol binary cluster data by the number of reference symbols.

Binary cluster Appearance frequency 10 99972 1000 45706 101 27589 100 23918 1011 12541 1001 11778 100000000000 9811 10111 8747 10001 7454 10000 7082 10011 5298 100001 4309 100111 3839 101111 3755 100011 3387 1011111111 3387 100000000 2803 100000 2344 101111111111 2034 101111111 1945 10011111111 1897 100011111111 1859 10111111111 1853 1001111 1834 1000000001 1556 1000111 1488 10011111 1423 1000000000111 1305 1000011 1262 1000001 1239 1001111111 1177 1011111 1172 100111111111 1153 10001111 1081 10000000011 1010 10000000001 920 100000000011 890 10000011 821 1011111111111 802 1 billion 795 1001111111111 795 100111111 794 10000001 702 1000111111111 694 10000000 676 10111111 661 1000000 586 10001111111 574 10000111 547 10000000000 508 100000000111 445 100000001 397 10000000001111 392 100011111 387 10001111111111 382 10011111111111 347 100000111 323 100001111 282 1000000000000 280 10000111111111 253 100000011 242 10111111111111 212 1000111111 211 1000011111 206 1000011111111 166 1000001111 158 1000000001111 156 100011111111111 145 10000011111111 144 1000000111 138 100000111111111 127 10000111111 111 100000000001 108 100001111111 103 101111111111111 97 1000001111111 79 10000000011111 76 1000000000001 75 10000001111 72 100000111111 72 1000000011 70 10000000000001 68 1000001111111111 56 1000000001111111 55 10000011111 55 100000011111 50 100000000001111 49 100000000011111 41 10000000000011 40 100000000111111 40 10000000111 39 10000000000011111111 38 1000000000000001 37 1000000000011111 30 1000000111111 30 100001111111111 29 10000000000000000 28 1000000000011 25 1011111111111111 25 100000000001111111 22 100111111111111 22 10000000001111111 21 100000000000111 20 100000000000000 15 1000000011111 15 100000000000011 14 10000000000111111111 14 10000001111111 13 100000011111111 13 10000000000111 12 10000000000000001 11 100000000000001 11 1000000000000111 11 1000000000000000 9 100000000000000011 9 1000000000001111 9 100000001111 9 10000000111111 8 10000000000000 7 1000000000000000000000111 7 100000000000011111 7 1000000000000011 6 1000011111111111 6 10000000000011111 5 100000000011111111 5 100000001111111111 5 1001111111111111 5 10000000000000011 4 10000000000001111 4 1000000000000000000 3 10000000000000000000011 3 10000000000000000011 3 100000000000000001 3 1000000000000011111 3 1000000000001111111 3 1000000000111111 3 100000001111111 3 1000000111111111 3 10011111111111111 3 100000000000000000 2 100000000000000111 2 10000000000000111 2 100000000000001111 2 10000000000001111111 2 1000000000000111111111 2 100000000000111111111111 2 10000000000111111 2 100000000111111111 2 1000000011111111 2 100001111111111111 2 100000000000000000000000 One 10000000000000000000000000 One 10000000000000000000000000000000000000000000000000000000 One 10,000 One 10000000000000000000000001 One 10000000000000000000000000001 One 10000000000000000001 One 100000000000000000011 One 100000000000000001111 One 10000000000000000000111111111 One 1000000000000000111 One 10000000000000001111 One 100000000000111111111 One 1000000000011111111 One 1000000000111111111 One 1000000000111111111111111 One 10000000011111111 One 100000011111111111 One 10000011111111111 One 10000111111111111 One 1000111111111111 One

In this way, the transmission unit transmits the binary cluster types corresponding to the number of reference symbols and the number of reference symbols in succession, and transmits the full-scale compressed data. The compression symbols are transmitted in the order of the pre- Are sequentially transmitted as common code compression symbols in the form of binary clusters such as "10", "100", "101", "1000", "1001", "1011" do.

The generic code used in the present invention is described in detail in the present invention's prior art application No. 10-2014-0062515.

In general, an integer value is encoded by a method of encoding an arbitrary integer value

Generates a bitstream, decodes the bitstream generated in the opposite manner, and replaces the exponent value

want. The code thus encoded is called a universal code.

Each of the universal codes includes at least 0 or more "1" consecutive from the least significant bit of each universal code such as "10", "1011 (10/11)", "1000111 Quot ;, and at least zero or more consecutive "0" s disposed between the at least zero or more consecutive "1" A binary number having the smallest bit length among the universal codes satisfying these conditions is "10 ", and thereafter, the binary numbers of 100, 101, 1000, 1001, 1011, 10000, 10001, 10011, 10111, Can be listed.

As you can see here, the main cluster must have a "10"

, And then increase the number of bits to "1" from the least significant bit

"10" must remain on the upper bit side and "10" should be followed by "10"

When there is no phase "0", the number of bit digits is increased by "1" to "1000000"

do. These main clusters are sequentially arranged in order of decreasing bit length

The correspondence can be made as in the example of Table 3. After dividing the original data by binary clusters, each binary cluster is converted into a corresponding universal code according to the correspondence table shown in Table 3, and transmission is sequentially performed. That is, as shown in Table 3, in the original data stream, there are 45706 times in the case of binary cluster "1000 ", which is" 100 "when converted into a universal code devised in the present invention. And send it immediately. In this case, since the code is converted into a code reduced by one bit as compared with the original data and compressed and transmitted, a total of 45706 bits are saved and transmitted.

Binary cluster Appearance frequency Universal code 10 99972 10 1000 45706 100 101 27589 101 100 23918 1000 1011 12541 1001 1001 11778 1011 100000000000 9811 10000 10111 8747 10001 10001 7454 10011 10000 7082 10111 10011 5298 100000 100001 4309 100001 100111 3839 100011 101111 3755 100111 100011 3387 101111 1011111111 3387 1000000 100000000 2803 1000001 100000 2344 1000011 101111111111 2034 1000111 101111111 1945 1001111 10011111111 1897 1011111 100011111111 1859 10000000 10111111111 1853 10000001 1001111 1834 10000011 1000000001 1556 10000111 1000111 1488 10001111 10011111 1423 10011111 1000000000111 1305 10111111 1000011 1262 100000000 1000001 1239 100000001 1001111111 1177 100000011 1011111 1172 100000111 100111111111 1153 100001111 10001111 1081 100011111 10000000011 1010 100111111 10000000001 920 101111111 100000000011 890 1 billion 10000011 821 1000000001 1011111111111 802 1000000011 1 billion 795 1000000111 1001111111111 795 1000001111 100111111 794 1000011111 10000001 702 1000111111 1000111111111 694 1001111111 10000000 676 1011111111 10111111 661 10000000000 1000000 586 10000000001 10001111111 574 10000000011 10000111 547 10000000111 10000000000 508 10000001111 100000000111 445 10000011111 100000001 397 10000111111 10000000001111 392 10001111111 100011111 387 10011111111 10001111111111 382 10111111111 10011111111111 347 100000000000 100000111 323 100000000001 100001111 282 100000000011 1000000000000 280 100000000111 10000111111111 253 100000001111 100000011 242 100000011111 10111111111111 212 100000111111 1000111111 211 100001111111 1000011111 206 100011111111 1000011111111 166 100111111111 1000001111 158 101111111111 1000000001111 156 1000000000000 100011111111111 145 1000000000001 10000011111111 144 1000000000011 1000000111 138 1000000000111 100000111111111 127 1000000001111 10000111111 111 1000000011111 100000000001 108 1000000111111 100001111111 103 1000001111111 101111111111111 97 1000011111111 1000001111111 79 1000111111111 10000000011111 76 1001111111111 1000000000001 75 1011111111111 10000001111 72 10000000000000 100000111111 72 10000000000001 1000000011 70 10000000000011 10000000000001 68 10000000000111 1000001111111111 56 10000000001111 1000000001111111 55 10000000011111 10000011111 55 10000000111111 100000011111 50 10000001111111 100000000001111 49 10000011111111 100000000011111 41 10000111111111 10000000000011 40 10001111111111 100000000111111 40 10011111111111 10000000111 39 10111111111111 10000000000011111111 38 100000000000000 1000000000000001 37 100000000000001 1000000000011111 30 100000000000011 1000000111111 30 100000000000111 100001111111111 29 100000000001111 10000000000000000 28 100000000011111 1000000000011 25 100000000111111 1011111111111111 25 100000001111111 100000000001111111 22 100000011111111 100111111111111 22 100000111111111 10000000001111111 21 100001111111111 100000000000111 20 100011111111111 100000000000000 15 100111111111111 1000000011111 15 101111111111111 100000000000011 14 1000000000000000 10000000000111111111 14 1000000000000001 10000001111111 13 1000000000000011 100000011111111 13 1000000000000111 10000000000111 12 1000000000001111 10000000000000001 11 1000000000011111 100000000000001 11 1000000000111111 1000000000000111 11 1000000001111111 1000000000000000 9 1000000011111111 100000000000000011 9 1000000111111111 1000000000001111 9 1000001111111111 100000001111 9 1000011111111111 10000000111111 8 1000111111111111 10000000000000 7 1001111111111111 1000000000000000000000111 7 1011111111111111 100000000000011111 7 10000000000000000 1000000000000011 6 10000000000000001 1000011111111111 6 10000000000000011 10000000000011111 5 10000000000000111 100000000011111111 5 10000000000001111 100000001111111111 5 10000000000011111 1001111111111111 5 10000000000111111 10000000000000011 4 10000000001111111 10000000000001111 4 10000000011111111 1000000000000000000 3 10000000111111111 10000000000000000000011 3 10000001111111111 10000000000000000011 3 10000011111111111 100000000000000001 3 10000111111111111 1000000000000011111 3 10001111111111111 1000000000001111111 3 10011111111111111 1000000000111111 3 10111111111111111 100000001111111 3 100000000000000000 1000000111111111 3 100000000000000001 10011111111111111 3 100000000000000011 100000000000000000 2 100000000000000111 100000000000000111 2 100000000000001111 10000000000000111 2 100000000000011111 100000000000001111 2 100000000000111111 10000000000001111111 2 100000000001111111 1000000000000111111111 2 100000000011111111 100000000000111111111111 2 100000000111111111 10000000000111111 2 100000001111111111 100000000111111111 2 100000011111111111 1000000011111111 2 100000111111111111 100001111111111111 2 100001111111111111 100000000000000000000000 One 100011111111111111 10000000000000000000000000 One 100111111111111111 10000000000000000000000000000000000000000000000000000000 One 101111111111111111 10,000 One 1000000000000000000 10000000000000000000000001 One 1000000000000000001 10000000000000000000000000001 One 1000000000000000011 10000000000000000001 One 1000000000000000111 100000000000000000011 One 1000000000000001111 100000000000000001111 One 1000000000000011111 10000000000000000000111111111 One 1000000000000111111 1000000000000000111 One 1000000000001111111 10000000000000001111 One 1000000000011111111 100000000000111111111 One 1000000000111111111 1000000000011111111 One 1000000001111111111 1000000000111111111 One 1000000011111111111 1000000000111111111111111 One 1000000111111111111 10000000011111111 One 1000001111111111111 100000011111111111 One 1000011111111111111 10000011111111111 One 1000111111111111111 10000111111111111 One 1001111111111111111 1000111111111111 One 1011111111111111111

Table 4 below shows the data sequentially transmitted from the transmitter to the receiver using the mapping table of Table 3 in order of the original binary data. The binary cluster of the original data may be sequentially converted into the universal code and transmitted to the receiving unit. Here, the universal codes used in the present invention will be conceptually classified as compressed binary clusters in the present invention.

Binary cluster The transmitted universal code (compressed binary cluster) 10 10 10111111111 10000001 101 101 10001111111111 10111111111 10000000000000000 100000000011111 100000 1000011 100 1000 10 10 100 1000 10001 10011 100 1000 100 1000 100 1000 10 10 10001 10011 10000000000000000 100000000011111 10000000 1011111111 10000000 1011111111 100000000 1000001 100 1000 101 101 1 billion 1000000111 100 1000 101 101 10000000000000000000111111111 1000000000000111111 101 101 101 101 1 billion 1000000111 100001 100001 1000000000000 100000000111 10 10 100000011 100000011111 10000011 1000000001 10000 10111 100 1000 10000011 1000000001 1000001 100000001 100000 1000011 10 10 100000 1000011 100 1000 10000 10111 10000000 1011111111 100 1000 10000 10111 101 101 10000 10111 101 101 10000 10111 10 10 1000001 100000001 1000000111 1000000000111 10001 10011 100 1000 1000 100 100000000111 10000011111 1000011 100000000 10000011 1000000001 100000111 100000000001 1000111 10001111 10000 10111 101 101 10000 10111 1011 1001 1000 100 100 1000 100001 100001 100 1000 100 1000 100 1000 10000 10111 10000000 1011111111 1001 1011 1000 100 100 1000 10 10 100 1000 10001 10011 100 1000 10000000 1011111111 10001 10011 100 1000 1000 100 1000 100 10 10 100000 1000011 101 101 10 10 10011 100000 100 1000 1001 1011 1000000 10000000001 10 10 100000 1000011 10 10 10 10 10001 10011 101 101 1000 100 10 10 101 101 100 1000 1000 100 1000 100 10001 10011 1001 1011 100 1000 100 1000 1000 100 100001 100001 100 1000 10001 10011 101 101 100011 101111 101 101 100111 100011 10 10 10 10 10000000 1011111111 10000000 1011111111 100000000 1000001 1001 1011 10001 10011 100000 1000011 10001 10011 100 1000 100 1000 101 101 10 10 1000 100 10 10 1001111 10000011 100 1000 100 1000 10 10 100011 101111 100 1000 10011111 10011111 10 10 100000000111 10000011111 101111111111 1000111 101 101 101 101 1 billion 1000000111 100001 100001 10000000 1011111111 10000 10111 101 101 10000 10111 101 101 10000 10111 101 101 10000111 10000000111 ... ...

As a result of the total compression transmission, compression amount is calculated as shown in Table 5 below.

Binary cluster Appearance frequency Universal code
(Compressed binary cluster)
Amount of compression Original data Transmission data
10 99972 10 0 199944 199944 1000 45706 100 -45706 182824 137118 101 27589 101 0 82767 82767 100 23918 1000 23918 71754 95672 1011 12541 1001 0 50164 50164 1001 11778 1011 0 47112 47112 100000000000 9811 10000 -68677 117732 49055 10111 8747 10001 0 43735 43735 10001 7454 10011 0 37270 37270 10000 7082 10111 0 35410 35410 10011 5298 100000 5298 26490 31788 100001 4309 100001 0 25854 25854 100111 3839 100011 0 23034 23034 101111 3755 100111 0 22530 22530 100011 3387 101111 0 20322 20322 1011111111 3387 1000000 -10161 33870 23709 100000000 2803 1000001 -5606 25227 19621 100000 2344 1000011 2344 14064 16408 101111111111 2034 1000111 -10170 24408 14238 101111111 1945 1001111 -3890 17505 13615 10011111111 1897 1011111 -7588 20867 13279 100011111111 1859 10000000 -7436 22308 14872 10111111111 1853 10000001 -5559 20383 14824 1001111 1834 10000011 1834 12838 14672 1000000001 1556 10000111 -3112 15560 12448 1000111 1488 10001111 1488 10416 11904 10011111 1423 10011111 0 11384 11384 1000000000111 1305 10111111 -6525 16965 10440 1000011 1262 100000000 2524 8834 11358 1000001 1239 100000001 2478 8673 11151 1001111111 1177 100000011 -1177 11770 10593 1011111 1172 100000111 2344 8204 10548 100111111111 1153 100001111 -3459 13836 10377 10001111 1081 100011111 1081 8648 9729 10000000011 1010 100111111 -2020 11110 9090 10000000001 920 101111111 -1840 10120 8280 100000000011 890 1 billion -1780 10680 8900 10000011 821 1000000001 1642 6568 8210 1011111111111 802 1000000011 -2406 10426 8020 1 billion 795 1000000111 0 7950 7950 1001111111111 795 1000001111 -2385 10335 7950 100111111 794 1000011111 794 7146 7940 10000001 702 1000111111 1404 5616 7020 1000111111111 694 1001111111 -2082 9022 6940 10000000 676 1011111111 1352 5408 6760 10111111 661 10000000000 1983 5288 7271 1000000 586 10000000001 2344 4102 6446 10001111111 574 10000000011 0 6314 6314 10000111 547 10000000111 1641 4376 6017 10000000000 508 10000001111 0 5588 5588 100000000111 445 10000011111 -445 5340 4895 100000001 397 10000111111 794 3573 4367 10000000001111 392 10001111111 -1176 5488 4312 100011111 387 10011111111 774 3483 4257 10001111111111 382 10111111111 -1146 5348 4202 10011111111111 347 100000000000 -694 4858 4164 100000111 323 100000000001 969 2907 3876 100001111 282 100000000011 846 2538 3384 1000000000000 280 100000000111 -280 3640 3360 10000111111111 253 100000001111 -506 3542 3036 100000011 242 100000011111 726 2178 2904 10111111111111 212 100000111111 -424 2968 2544 1000111111 211 100001111111 422 2110 2532 1000011111 206 100011111111 412 2060 2472 1000011111111 166 100111111111 -166 2158 1992 1000001111 158 101111111111 316 1580 1896 1000000001111 156 1000000000000 0 2028 2028 100011111111111 145 1000000000001 -290 2175 1885 10000011111111 144 1000000000011 -144 2016 1872 1000000111 138 1000000000111 414 1380 1794 100000111111111 127 1000000001111 -254 1905 1651 10000111111 111 1000000011111 222 1221 1443 100000000001 108 1000000111111 108 1296 1404 100001111111 103 1000001111111 103 1236 1339 101111111111111 97 1000011111111 -194 1455 1261 1000001111111 79 1000111111111 0 1027 1027 10000000011111 76 1001111111111 -76 1064 988 1000000000001 75 1011111111111 0 975 975 10000001111 72 10000000000000 216 792 1008 100000111111 72 10000000000001 144 864 1008 1000000011 70 10000000000011 280 700 980 10000000000001 68 10000000000111 0 952 952 1000001111111111 56 10000000001111 -112 896 784 1000000001111111 55 10000000011111 -110 880 770 10000011111 55 10000000111111 165 605 770 100000011111 50 10000001111111 100 600 700 100000000001111 49 10000011111111 -49 735 686 100000000011111 41 10000111111111 -41 615 574 10000000000011 40 10001111111111 0 560 560 100000000111111 40 10011111111111 -40 600 560 10000000111 39 10111111111111 117 429 546 10000000000011111111 38 100000000000000 -190 760 570 1000000000000001 37 100000000000001 -37 592 555 1000000000011111 30 100000000000011 -30 480 450 1000000111111 30 100000000000111 60 390 450 100001111111111 29 100000000001111 0 435 435 10000000000000000 28 100000000011111 -56 476 420 1000000000011 25 100000000111111 50 325 375 1011111111111111 25 100000001111111 -25 400 375 100000000001111111 22 100000011111111 -66 396 330 100111111111111 22 100000111111111 0 330 330 10000000001111111 21 100001111111111 -42 357 315 100000000000111 20 100011111111111 0 300 300 100000000000000 15 100111111111111 0 225 225 1000000011111 15 101111111111111 30 195 225 100000000000011 14 1000000000000000 14 210 224 10000000000111111111 14 1000000000000001 -56 280 224 10000001111111 13 1000000000000011 26 182 208 100000011111111 13 1000000000000111 13 195 208 10000000000111 12 1000000000001111 24 168 192 10000000000000001 11 1000000000011111 -11 187 176 100000000000001 11 1000000000111111 11 165 176 1000000000000111 11 1000000001111111 0 176 176 1000000000000000 9 1000000011111111 0 144 144 100000000000000011 9 1000000111111111 -18 162 144 1000000000001111 9 1000001111111111 0 144 144 100000001111 9 1000011111111111 36 108 144 10000000111111 8 1000111111111111 16 112 128 10000000000000 7 1001111111111111 14 98 112 1000000000000000000000111 7 1011111111111111 -63 175 112 100000000000011111 7 10000000000000000 -7 126 119 1000000000000011 6 10000000000000001 6 96 102 1000011111111111 6 10000000000000011 6 96 102 10000000000011111 5 10000000000000111 0 85 85 100000000011111111 5 10000000000001111 -5 90 85 100000001111111111 5 10000000000011111 -5 90 85 1001111111111111 5 10000000000111111 5 80 85 10000000000000011 4 10000000001111111 0 68 68 10000000000001111 4 10000000011111111 0 68 68 1000000000000000000 3 10000000111111111 -6 57 51 10000000000000000000011 3 10000001111111111 -18 69 51 10000000000000000011 3 10000011111111111 -9 60 51 100000000000000001 3 10000111111111111 -3 54 51 1000000000000011111 3 10001111111111111 -6 57 51 1000000000001111111 3 10011111111111111 -6 57 51 1000000000111111 3 10111111111111111 3 48 51 100000001111111 3 100000000000000000 9 45 54 1000000111111111 3 100000000000000001 6 48 54 10011111111111111 3 100000000000000011 3 51 54 100000000000000000 2 100000000000000111 0 36 36 100000000000000111 2 100000000000001111 0 36 36 10000000000000111 2 100000000000011111 2 34 36 100000000000001111 2 100000000000111111 0 36 36 10000000000001111111 2 100000000001111111 -4 40 36 1000000000000111111111 2 100000000011111111 -8 44 36 100000000000111111111111 2 100000000111111111 -12 48 36 10000000000111111 2 100000001111111111 2 34 36 100000000111111111 2 100000011111111111 0 36 36 1000000011111111 2 100000111111111111 4 32 36 100001111111111111 2 100001111111111111 0 36 36 100000000000000000000000 One 100011111111111111 -6 24 18 10000000000000000000000000 One 100111111111111111 -8 26 18 10000000000000000000000000000000000000000000000000000000 One 101111111111111111 -38 56 18 10,000 One 1000000000000000000 -53 72 19 10000000000000000000000001 One 1000000000000000001 -11 30 19 10000000000000000000000000001 One 1000000000000000011 -10 29 19 10000000000000000001 One 1000000000000000111 -One 20 19 100000000000000000011 One 1000000000000001111 -2 21 19 100000000000000001111 One 1000000000000011111 -4 23 19 10000000000000000000111111111 One 1000000000000111111 -8 27 19 1000000000000000111 One 1000000000001111111 0 19 19 10000000000000001111 One 1000000000011111111 -One 20 19 100000000000111111111 One 1000000000111111111 -2 21 19 1000000000011111111 One 1000000001111111111 0 19 19 1000000000111111111 One 1000000011111111111 0 19 19 1000000000111111111111111 One 1000000111111111111 -6 25 19 10000000011111111 One 1000001111111111111 2 17 19 100000011111111111 One 1000011111111111111 One 18 19 10000011111111111 One 1000111111111111111 2 17 19 10000111111111111 One 1001111111111111111 2 17 19 1000111111111111 One 1011111111111111111 3 16 19 Sum -136599 1503709 1367110

As shown in Table 5, in the case of the example data, it can be seen that the JPG file of 1503709 bits is compressed and transmitted to 1377110 bits.

According to the present invention, data can be compressed and transmitted to a target device very quickly and efficiently without passing through entropy encoding such as Huffman coding through a simple operation.

On the other hand, we will explain how to decompress in real time in the receiver. First, the number of reference symbols received at the beginning of reception First, 171 is received first in this embodiment, and then 171 kinds of binary clusters in receiver are for decompression table configuration. Therefore, 171 kinds of arriving binary clusters are divided in the order of received, and a decompression table as shown in Table 6 is created.

Binary cluster 10 1000 101 100 1011 1001 100000000000 10111 10001 10000 10011 100001 100111 101111 100011 1011111111 100000000 100000 101111111111 101111111 10011111111 100011111111 10111111111 1001111 1000000001 1000111 10011111 1000000000111 1000011 1000001 1001111111 1011111 100111111111 10001111 10000000011 10000000001 100000000011 10000011 1011111111111 1 billion 1001111111111 100111111 10000001 1000111111111 10000000 10111111 1000000 10001111111 10000111 10000000000 100000000111 100000001 10000000001111 100011111 10001111111111 10011111111111 100000111 100001111 1000000000000 10000111111111 100000011 10111111111111 1000111111 1000011111 1000011111111 1000001111 1000000001111 100011111111111 10000011111111 1000000111 100000111111111 10000111111 100000000001 100001111111 101111111111111 1000001111111 10000000011111 1000000000001 10000001111 100000111111 1000000011 10000000000001 1000001111111111 1000000001111111 10000011111 100000011111 100000000001111 100000000011111 10000000000011 100000000111111 10000000111 10000000000011111111 1000000000000001 1000000000011111 1000000111111 100001111111111 10000000000000000 1000000000011 1011111111111111 100000000001111111 100111111111111 10000000001111111 100000000000111 100000000000000 1000000011111 100000000000011 10000000000111111111 10000001111111 100000011111111 10000000000111 10000000000000001 100000000000001 1000000000000111 1000000000000000 100000000000000011 1000000000001111 100000001111 10000000111111 10000000000000 1000000000000000000000111 100000000000011111 1000000000000011 1000011111111111 10000000000011111 100000000011111111 100000001111111111 1001111111111111 10000000000000011 10000000000001111 1000000000000000000 10000000000000000000011 10000000000000000011 100000000000000001 1000000000000011111 1000000000001111111 1000000000111111 100000001111111 1000000111111111 10011111111111111 100000000000000000 100000000000000111 10000000000000111 100000000000001111 10000000000001111111 1000000000000111111111 100000000000111111111111 10000000000111111 100000000111111111 1000000011111111 100001111111111111 100000000000000000000000 10000000000000000000000000 10000000000000000000000000000000000000000000000000000000 10,000 10000000000000000000000001 10000000000000000000000000001 10000000000000000001 100000000000000000011 100000000000000001111 10000000000000000000111111111 1000000000000000111 10000000000000001111 100000000000111111111 1000000000011111111 1000000000111111111 1000000000111111111111111 10000000011111111 100000011111111111 10000011111111111 10000111111111111 1000111111111111

Now, in the receiver, the universal codes for the compression clusters corresponding to 171 kinds can be automatically generated as shown in Table 7 below.

Universal code 10 100 101 1000 1001 1011 10000 10001 10011 10111 100000 100001 100011 100111 101111 1000000 1000001 1000011 1000111 1001111 1011111 10000000 10000001 10000011 10000111 10001111 10011111 10111111 100000000 100000001 100000011 100000111 100001111 100011111 100111111 101111111 1 billion 1000000001 1000000011 1000000111 1000001111 1000011111 1000111111 1001111111 1011111111 10000000000 10000000001 10000000011 10000000111 10000001111 10000011111 10000111111 10001111111 10011111111 10111111111 100000000000 100000000001 100000000011 100000000111 100000001111 100000011111 100000111111 100001111111 100011111111 100111111111 101111111111 1000000000000 1000000000001 1000000000011 1000000000111 1000000001111 1000000011111 1000000111111 1000001111111 1000011111111 1000111111111 1001111111111 1011111111111 10000000000000 10000000000001 10000000000011 10000000000111 10000000001111 10000000011111 10000000111111 10000001111111 10000011111111 10000111111111 10001111111111 10011111111111 10111111111111 100000000000000 100000000000001 100000000000011 100000000000111 100000000001111 100000000011111 100000000111111 100000001111111 100000011111111 100000111111111 100001111111111 100011111111111 100111111111111 101111111111111 1000000000000000 1000000000000001 1000000000000011 1000000000000111 1000000000001111 1000000000011111 1000000000111111 1000000001111111 1000000011111111 1000000111111111 1000001111111111 1000011111111111 1000111111111111 1001111111111111 1011111111111111 10000000000000000 10000000000000001 10000000000000011 10000000000000111 10000000000001111 10000000000011111 10000000000111111 10000000001111111 10000000011111111 10000000111111111 10000001111111111 10000011111111111 10000111111111111 10001111111111111 10011111111111111 10111111111111111 100000000000000000 100000000000000001 100000000000000011 100000000000000111 100000000000001111 100000000000011111 100000000000111111 100000000001111111 100000000011111111 100000000111111111 100000001111111111 100000011111111111 100000111111111111 100001111111111111 100011111111111111 100111111111111111 101111111111111111 1000000000000000000 1000000000000000001 1000000000000000011 1000000000000000111 1000000000000001111 1000000000000011111 1000000000000111111 1000000000001111111 1000000000011111111 1000000000111111111 1000000001111111111 1000000011111111111 1000000111111111111 1000001111111111111 1000011111111111111 1000111111111111111 1001111111111111111 1011111111111111111

The final decompression table in which the binary clusters for the decompression tables and the universal codes in the order of 1: 1 are listed in Table 6 and Table 7 can be generated in the receiver as shown in Table 8. [

Binary cluster Universal code (compressed binary cluster) 10 10 1000 100 101 101 100 1000 1011 1001 1001 1011 100000000000 10000 10111 10001 10001 10011 10000 10111 10011 100000 100001 100001 100111 100011 101111 100111 100011 101111 1011111111 1000000 100000000 1000001 100000 1000011 101111111111 1000111 101111111 1001111 10011111111 1011111 100011111111 10000000 10111111111 10000001 1001111 10000011 1000000001 10000111 1000111 10001111 10011111 10011111 1000000000111 10111111 1000011 100000000 1000001 100000001 1001111111 100000011 1011111 100000111 100111111111 100001111 10001111 100011111 10000000011 100111111 10000000001 101111111 100000000011 1 billion 10000011 1000000001 1011111111111 1000000011 1 billion 1000000111 1001111111111 1000001111 100111111 1000011111 10000001 1000111111 1000111111111 1001111111 10000000 1011111111 10111111 10000000000 1000000 10000000001 10001111111 10000000011 10000111 10000000111 10000000000 10000001111 100000000111 10000011111 100000001 10000111111 10000000001111 10001111111 100011111 10011111111 10001111111111 10111111111 10011111111111 100000000000 100000111 100000000001 100001111 100000000011 1000000000000 100000000111 10000111111111 100000001111 100000011 100000011111 10111111111111 100000111111 1000111111 100001111111 1000011111 100011111111 1000011111111 100111111111 1000001111 101111111111 1000000001111 1000000000000 100011111111111 1000000000001 10000011111111 1000000000011 1000000111 1000000000111 100000111111111 1000000001111 10000111111 1000000011111 100000000001 1000000111111 100001111111 1000001111111 101111111111111 1000011111111 1000001111111 1000111111111 10000000011111 1001111111111 1000000000001 1011111111111 10000001111 10000000000000 100000111111 10000000000001 1000000011 10000000000011 10000000000001 10000000000111 1000001111111111 10000000001111 1000000001111111 10000000011111 10000011111 10000000111111 100000011111 10000001111111 100000000001111 10000011111111 100000000011111 10000111111111 10000000000011 10001111111111 100000000111111 10011111111111 10000000111 10111111111111 10000000000011111111 100000000000000 1000000000000001 100000000000001 1000000000011111 100000000000011 1000000111111 100000000000111 100001111111111 100000000001111 10000000000000000 100000000011111 1000000000011 100000000111111 1011111111111111 100000001111111 100000000001111111 100000011111111 100111111111111 100000111111111 10000000001111111 100001111111111 100000000000111 100011111111111 100000000000000 100111111111111 1000000011111 101111111111111 100000000000011 1000000000000000 10000000000111111111 1000000000000001 10000001111111 1000000000000011 100000011111111 1000000000000111 10000000000111 1000000000001111 10000000000000001 1000000000011111 100000000000001 1000000000111111 1000000000000111 1000000001111111 1000000000000000 1000000011111111 100000000000000011 1000000111111111 1000000000001111 1000001111111111 100000001111 1000011111111111 10000000111111 1000111111111111 10000000000000 1001111111111111 1000000000000000000000111 1011111111111111 100000000000011111 10000000000000000 1000000000000011 10000000000000001 1000011111111111 10000000000000011 10000000000011111 10000000000000111 100000000011111111 10000000000001111 100000001111111111 10000000000011111 1001111111111111 10000000000111111 10000000000000011 10000000001111111 10000000000001111 10000000011111111 1000000000000000000 10000000111111111 10000000000000000000011 10000001111111111 10000000000000000011 10000011111111111 100000000000000001 10000111111111111 1000000000000011111 10001111111111111 1000000000001111111 10011111111111111 1000000000111111 10111111111111111 100000001111111 100000000000000000 1000000111111111 100000000000000001 10011111111111111 100000000000000011 100000000000000000 100000000000000111 100000000000000111 100000000000001111 10000000000000111 100000000000011111 100000000000001111 100000000000111111 10000000000001111111 100000000001111111 1000000000000111111111 100000000011111111 100000000000111111111111 100000000111111111 10000000000111111 100000001111111111 100000000111111111 100000011111111111 1000000011111111 100000111111111111 100001111111111111 100001111111111111 100000000000000000000000 100011111111111111 10000000000000000000000000 100111111111111111 10000000000000000000000000000000000000000000000000000000 101111111111111111 10,000 1000000000000000000 10000000000000000000000001 1000000000000000001 10000000000000000000000000001 1000000000000000011 10000000000000000001 1000000000000000111 100000000000000000011 1000000000000001111 100000000000000001111 1000000000000011111 10000000000000000000111111111 1000000000000111111 1000000000000000111 1000000000001111111 10000000000000001111 1000000000011111111 100000000000111111111 1000000000111111111 1000000000011111111 1000000001111111111 1000000000111111111 1000000011111111111 1000000000111111111111111 1000000111111111111 10000000011111111 1000001111111111111 100000011111111111 1000011111111111111 10000011111111111 1000111111111111111 10000111111111111 1001111111111111111 1000111111111111 1011111111111111111

As shown in Table 8, all the binary clusters (the compressed binary clusters in the form of universal codes) that are received afterwards using the decompression table generated using the symbol binary clusters of the number of the reference symbols and the number of consecutive symbols, ) Is reduced to binary clusters and decompressed to 1: 1 in real time, and the original data is recovered. Finally, if the topmost compulsory header is removed from the recovered original data, it is correctly restored to the original original data.

Since it is possible to quickly perform a collation operation in a memory without requiring a separate tree or a complex dictionary search process for real-time compression and decompression of the present invention, it can be an invention suitable for real-time transmission,

In particular, if a minimum amount of information is transmitted and received without generating and transmitting a decompression dictionary separately on the transmitting side and the receiving side, the receiving side can automatically complete the dictionary and perform decompression, which is very economical.

Claims (2)

Adding a CH to the original binary data; Partitioning into binary clusters; Transmitting a reference symbol number and a reference symbol binary cluster; Generating a universal code to make a binary cluster into an compressed binary cluster and transmitting in real time;
Generating a decompression table from the number of reference symbols initially received and the reference symbol binary cluster; Restoring the received compressed binary cluster into an original binary cluster using a decompression table; And removing the CH from the most significant bit of the decompressed data.
KR1020150042060A 2015-03-26 2015-03-26 Real time compressed transferring and decompression of binary stream data by binary cluster KR20160115086A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR1020150042060A KR20160115086A (en) 2015-03-26 2015-03-26 Real time compressed transferring and decompression of binary stream data by binary cluster

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020150042060A KR20160115086A (en) 2015-03-26 2015-03-26 Real time compressed transferring and decompression of binary stream data by binary cluster

Publications (1)

Publication Number Publication Date
KR20160115086A true KR20160115086A (en) 2016-10-06

Family

ID=57164848

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020150042060A KR20160115086A (en) 2015-03-26 2015-03-26 Real time compressed transferring and decompression of binary stream data by binary cluster

Country Status (1)

Country Link
KR (1) KR20160115086A (en)

Similar Documents

Publication Publication Date Title
KR101737294B1 (en) Methods and devices for source-coding and decoding of data involving symbol compression
US10268380B2 (en) Methods, devices and systems for semantic-value data compression and decompression
EP3108583B1 (en) Devices and methods of source-encoding and decoding of data
WO2014131517A1 (en) Encoder, decoder and method
KR102393743B1 (en) Encoder, decoder and method using mode symbols
KR101575939B1 (en) Binary data compression and restoration method and apparatus
KR100636370B1 (en) Apparatus and method for coding using bit-precision, and apparatus and method for decoding according to the same
Qin et al. Reversible data embedding for vector quantization compressed images using search‐order coding and index parity matching
KR20160115086A (en) Real time compressed transferring and decompression of binary stream data by binary cluster
KR101549740B1 (en) Binary data compression and decompression method and apparatus
KR101471833B1 (en) Binary data compression and decompression method and apparatus
KR101676420B1 (en) Data compression and restoration method and apparatus
KR101632115B1 (en) Binary data compression and restoration method and apparatus
Rawat et al. Evaluation of Burrows Wheeler Transform based image compression algorithm for multimedia applications
KR101760070B1 (en) Data encoding and decoding method and apparatus
KR101632116B1 (en) Binary data compression and restoration method and apparatus
KR20160114258A (en) Binary cluster transfer method by distinguishing standard length variance of binary clusters
KR20120000085A (en) Data compression/decompression device and method thereof
KR20180000143A (en) BINARY UNIVERSAL CODE To QUARDRUPLE UNIVERSAL CODE ENCODING AND DECODING METHOD
KR20210012842A (en) Binary data compression method thereof
KR20170010970A (en) Binary data compressed transfer method
KR20220028388A (en) Huffman and bl-alpha code data compression
KR20160063580A (en) Compress binary cluster transferring method by mapping binary clusters with universal codes
Pradeep et al. Efficiency of Entropy Coding as well as Dictionary based Technique for Lossless Data Compression
KR20170047484A (en) Formularized error-proof real time universal code encoding and decoding method and appratus thereof