A comparative analysis of Huffman and LZW methods of color image compression-decompression

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Jamil Azzeh
Keyword(s):  
Comparative Analysis ◽  
Data Compression ◽  
Compression Ratio ◽  
Data Transmission ◽  
Storage Capacity ◽  
Color Image ◽  
File Transfer ◽  
Long Time ◽  
Speed Up ◽  
Color Image Compression

Data compression is a size reduction of data to be sent via network or to be stored on auxiliary storage for long time, thus data compression will save storage capacity, speed up file transfer, speedup data transmission by decreasing transferring time, and decrease costs for storage hardware and network bandwidth.In this paper we will invistigate Huffman and LZW methods of data compression-decompression. Different images in sizes and types will treated, compresion , decompression times will be evaluated, compression ratio will obtained, the obtaind results will be anakyzed inorder to do some judgments

scholarly journals Comparison of Entropy and Dictionary Based Text Compression in English, German, French, Italian, Czech, Hungarian, Finnish, and Croatian

Mathematics ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. 1059
Author(s):  
Matea Ignatoski ◽  
Jonatan Lerga ◽  
Ljubiša Stanković ◽  
Miloš Daković
Keyword(s):  
Data Compression ◽  
Compression Ratio ◽  
Data Transmission ◽  
Storage Capacity ◽  
Text Compression ◽  
Video Content ◽  
Text File ◽  
Digital World ◽  
Arithmetic Algorithm ◽  
Lzw Algorithm

The rapid growth in the amount of data in the digital world leads to the need for data compression, and so forth, reducing the number of bits needed to represent a text file, an image, audio, or video content. Compressing data saves storage capacity and speeds up data transmission. In this paper, we focus on the text compression and provide a comparison of algorithms (in particular, entropy-based arithmetic and dictionary-based Lempel–Ziv–Welch (LZW) methods) for text compression in different languages (Croatian, Finnish, Hungarian, Czech, Italian, French, German, and English). The main goal is to answer a question: ”How does the language of a text affect the compression ratio?” The results indicated that the compression ratio is affected by the size of the language alphabet, and size or type of the text. For example, The European Green Deal was compressed by 75.79%, 76.17%, 77.33%, 76.84%, 73.25%, 74.63%, 75.14%, and 74.51% using the LZW algorithm, and by 72.54%, 71.47%, 72.87%, 73.43%, 69.62%, 69.94%, 72.42% and 72% using the arithmetic algorithm for the English, German, French, Italian, Czech, Hungarian, Finnish, and Croatian versions, respectively.

scholarly journals Data Compression Using Elias Delta Code

2017 ◽  
Author(s):  
Andysah Putera Utama Siahaan
Keyword(s):  
Data Compression ◽  
Computer Networks ◽  
Data Transmission ◽  
Storage Capacity ◽  
Lossless Compression ◽  
Good Level ◽  
Before And After ◽  
Speed Up ◽  
Capacity Data

Compression is an activity performed to reduce its size into smaller than earlier. Compression is created since lack of adequate storage capacity. Data compression is also needed to speed up data transmission activity between computer networks. Compression has the different rule between speed and density. Compressed compression will take longer than compression that relies on speed. Elias Delta is one of the lossless compression techniques that can compress the characters. This compression is created based on the frequency of the character of a character on a document to be compressed. It works based on bit deductions on seven or eight bits. The most common characters will have the least number of bits, while the fewest characters will have the longest number of bits. The formation of character sets serves to eliminate double characters in the calculation of the number of each character as well as for the compression table storage. It has a good level of comparison between before and after compression. The speed of compression and decompression process possessed by this method is outstanding and fast.

scholarly journals Comparative Analysis of Various Color Image Compression Techniques

2014 ◽  
Vol 85 (14) ◽  
pp. 18-23
Author(s):  
Shreykumar G.Bhavsar ◽  
Hardik N. Mewada ◽  
Viraj Choksi ◽  
M. B. Potdar
Keyword(s):  
Comparative Analysis ◽  
Image Compression ◽  
Color Image ◽  
Color Image Compression

scholarly journals A REVIEW OF DIFFERENT ALGORITHMS USING IN COLOR IMAGE COMPRESSION

2016 ◽  
Vol 2 (4) ◽  
Author(s):  
Rashmi Jain ◽  
Mahima Jain
Keyword(s):  
Image Quality ◽  
Image Compression ◽  
Data Transmission ◽  
Data Transfer ◽  
Color Image ◽  
Color Image Compression ◽  
Basic Necessity

Digital Color Image required substantial measure of space to store and vast data transmission to transmit it. Because of constraints in data transfer capacity and away space, it is basic necessity to packs computerized shading Image. Shading Image compression is required with irrelevant misfortune in Image quality for the compelling utilization of further restored Image. To meet this, various Image compression systems are created in most recent quite a long while. This paper investigations these systems and presents a compression among them to discover the best strategy for computerized shading Image compression. The aim of this paper is to be find out the best approach for growing better approach for advanced color Image compression with least loss in Image quality.

scholarly journals Color Image Compression by Using Absolute Moment Block Truncation Coding and Hadamard Transform

2016 ◽  
Vol 15 (7) ◽  
pp. 6875-6884
Author(s):  
Aliaa Alrikabi
Keyword(s):  
Image Processing ◽  
Image Compression ◽  
Data Compression ◽  
Color Image ◽  
Image Data ◽  
Hadamard Transform ◽  
Absolute Moment ◽  
Two Component ◽  
Image Data Compression ◽  
Color Image Compression

This paper investigates image data compression as it is applicable to different fields of image processing, in order to reduce the volume of pictorial data which one may need to store or transmit, The research modifies a method for image data compression based on the two component code, in this coding technique, the image is partitioned into regions of slowly varying intensity. The contours separating the regions are coded by hadamard transform, while the rest image regions are coded by (AMBTC).

PERANCANGAN DAN IMPLEMENTASI ALGORITMA ELIAS GAMMA CODE UNTUK MENGKOMPRESI RECORD DATABASE PADA APLIKASI RANGKUMAN PENGETAHUAN UMUM LENGKAP

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Hikka Sartika ◽  
Taronisokhi Zebua
Keyword(s):  
Compression Ratio ◽  
General Public ◽  
Storage Capacity ◽  
Storage Space ◽  
File Size ◽  
Compression Technique ◽  
Code Algorithm ◽  
Database File ◽  
Large File

Storage space required by an application is one of the problems on smartphones. This problem can result in a waste of storage space because not all smartphones have a very large storage capacity. One application that has a large file size is the RPUL application and this application is widely accessed by students and the general public. Large file size is what often causes this application can not run effectively on smartphones. One solution that can be used to solve this problem is to compress the application file, so that the size of the storage space needed in the smartphone is much smaller. This study describes how the application of the elias gamma code algorithm as one of the compression technique algorithms to compress the RPUL application database file. This is done so that the RPUL application can run effectively on a smartphone after it is installed. Based on trials conducted on 64 bit of text as samples in this research it was found that compression based on the elias gamma code algorithm is able to compress text from a database file with a ratio of compression is 2 bits, compression ratio is 50% with a redundancy is 50%. Keywords: Compression, RPUL, Smartphone, Elias Gamma Code

Quantization Algorithms in Healthcare Information Telematics Using Wireless Interactive Services of Digital Video Broadcasting.

2020 ◽  
Vol 13 ◽  
Author(s):  
Konstantinos Kardaras ◽  
George I. Lambrou ◽  
Dimitrios Koutsouris
Keyword(s):  
Data Compression ◽  
Data Transmission ◽  
Digital Video ◽  
Digital Television ◽  
End User ◽  
Digital Video Broadcasting ◽  
New Era ◽  
Video Broadcasting ◽  
Television Network ◽  
Interactive Services

Background: In the new era of wireless communications new challenges emerge including the provision of various services over the digital television network. In particular, such services become more important when referring to the tele-medical applications through terrestrial Digital Video Broadcasting (DVB). Objective: One of the most significant aspects of video broadcasting is the quality and information content of data. Towards that end several algorithms have been proposed for image processing in order to achieve the most convenient data compression. Methods: Given that medical video and data are highly demanding in terms of resources it is imperative to find methods and algorithms that will facilitate medical data transmission with ordinary infrastructure such as DVB. Results: In the present work we have utilized a quantization algorithm for data compression and we have attempted to transform video signal in such a way that would transmit information and data with a minimum loss in quality and succeed a near maximum End-user approval. Conclusions: Such approaches are proven to be of great significance in emergency handling situations, which also include health care and emergency care applications.

Sign in / Sign up

Export Citation Format

Share Document