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- W2760989938 abstract "In a recent era of modern technology, there are many problems for storage, retrieval and transmission of data. Data compression is necessary due to rapid growth of digital media and the subsequent need for reduce storage size and transmit the data in an effective and efficient manner over the networks. It reduces the transmission traffic on internet also. Data compression try to reduce the number of bits required to store digitally. The various data and image compression algorithms are widely use to reduce the original data bits into lesser number of bits. Lossless data and image compression is a special class of data compression. This algorithm involves in reducing numbers of bits by identifying and eliminating statistical data redundancy in input data. It is very simple and effective method. It provides good lossless compression of input data. This is useful on data that contains many consecutive runs of the same values. This paper presents the implementation of Run Length Encoding for data compression." @default.
- W2760989938 created "2017-10-20" @default.
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- W2760989938 date "2017-08-10" @default.
- W2760989938 modified "2023-09-23" @default.
- W2760989938 title "Performance Analysis of Data Compression using Lossless Run Length Encoding" @default.
- W2760989938 cites W2109729692 @default.
- W2760989938 doi "https://doi.org/10.13005/ojcst/10.03.22" @default.
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