Data compression plays a key role in optimizing the use of memory storage space and also reducing latency in data transmission. In this paper, we are interested in lossless compression techniques because their perform...Data compression plays a key role in optimizing the use of memory storage space and also reducing latency in data transmission. In this paper, we are interested in lossless compression techniques because their performance is exploited with lossy compression techniques for images and videos generally using a mixed approach. To achieve our intended objective, which is to study the performance of lossless compression methods, we first carried out a literature review, a summary of which enabled us to select the most relevant, namely the following: arithmetic coding, LZW, Tunstall’s algorithm, RLE, BWT, Huffman coding and Shannon-Fano. Secondly, we designed a purposive text dataset with a repeating pattern in order to test the behavior and effectiveness of the selected compression techniques. Thirdly, we designed the compression algorithms and developed the programs (scripts) in Matlab in order to test their performance. Finally, following the tests conducted on relevant data that we constructed according to a deliberate model, the results show that these methods presented in order of performance are very satisfactory:- LZW- Arithmetic coding- Tunstall algorithm- BWT + RLELikewise, it appears that on the one hand, the performance of certain techniques relative to others is strongly linked to the sequencing and/or recurrence of symbols that make up the message, and on the other hand, to the cumulative time of encoding and decoding.展开更多
Wheeled Mobile Robots (WMRs) are more and more widely used in advanced manufacturing.For real time tracking of WMRs,a novel way for real-time color image reconstruction based on Run Length Encoding (RLE) is present.In...Wheeled Mobile Robots (WMRs) are more and more widely used in advanced manufacturing.For real time tracking of WMRs,a novel way for real-time color image reconstruction based on Run Length Encoding (RLE) is present.In- dexed from a fast look up table (FLUT),color image can be encoded into multiple llne structures with different specified colors. Through object-oriented method,the RLE elements reconstruct the image features.Successful application of this technique for mo- bile robots identification is reported.展开更多
文摘Data compression plays a key role in optimizing the use of memory storage space and also reducing latency in data transmission. In this paper, we are interested in lossless compression techniques because their performance is exploited with lossy compression techniques for images and videos generally using a mixed approach. To achieve our intended objective, which is to study the performance of lossless compression methods, we first carried out a literature review, a summary of which enabled us to select the most relevant, namely the following: arithmetic coding, LZW, Tunstall’s algorithm, RLE, BWT, Huffman coding and Shannon-Fano. Secondly, we designed a purposive text dataset with a repeating pattern in order to test the behavior and effectiveness of the selected compression techniques. Thirdly, we designed the compression algorithms and developed the programs (scripts) in Matlab in order to test their performance. Finally, following the tests conducted on relevant data that we constructed according to a deliberate model, the results show that these methods presented in order of performance are very satisfactory:- LZW- Arithmetic coding- Tunstall algorithm- BWT + RLELikewise, it appears that on the one hand, the performance of certain techniques relative to others is strongly linked to the sequencing and/or recurrence of symbols that make up the message, and on the other hand, to the cumulative time of encoding and decoding.
文摘Wheeled Mobile Robots (WMRs) are more and more widely used in advanced manufacturing.For real time tracking of WMRs,a novel way for real-time color image reconstruction based on Run Length Encoding (RLE) is present.In- dexed from a fast look up table (FLUT),color image can be encoded into multiple llne structures with different specified colors. Through object-oriented method,the RLE elements reconstruct the image features.Successful application of this technique for mo- bile robots identification is reported.
