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(k, n) secret base64 data sharing scheme using simple modular arithmetic
A (k, n) secret sharing (SS) is a threshold scheme that shares secret multimedia data into n sub-secrets (called shares). When any k or more shares are collected, the secret is recovered.
Ching-Nung Yang +4 more
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Lossless compression of medical images allows for rapid image data exchange and faithful recovery of the compressed data for medical image assessment. There are many useful telemedicine applications, for example in diagnosing conditions such as malaria ...
Md Firoz Mahmud +2 more
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Data compression is the process of reducing the size of a file to effectively reduce storage space and communication cost. The evolvement in technology and digital age has led to an unparalleled usage of digital files in this current decade.
N. A. Azeez, A. A. Lasisi
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Abstract. In this work, A Huffman source coding system is studied and implemented. The work will go through the basics of the source coding theorem, standard Huffman code is introduced, its weaknesses in a practical system are presented, and finally, methods and algorithms are introduced to overcome these weaknesses.
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IEEE Transactions on Information Theory, 1996
Summary: We examine the problem of deciphering a file that has been Huffman coded, but not otherwise encrypted. We find that a Huffman code can be surprisingly difficult to cryptanalyze. We present a detailed analysis of the situation for a three-symbol source alphabet and present some results for general finite alphabets.
David W. Gillman +2 more
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Summary: We examine the problem of deciphering a file that has been Huffman coded, but not otherwise encrypted. We find that a Huffman code can be surprisingly difficult to cryptanalyze. We present a detailed analysis of the situation for a three-symbol source alphabet and present some results for general finite alphabets.
David W. Gillman +2 more
exaly +3 more sources
ACM Computing Surveys, 2014
Huffman’s algorithm for computing minimum-redundancy prefix-free codes has almost legendary status in the computing disciplines. Its elegant blend of simplicity and applicability has made it a favorite example in algorithms courses, and as a result it is perhaps one of the most commonly implemented algorithmic techniques.
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Huffman’s algorithm for computing minimum-redundancy prefix-free codes has almost legendary status in the computing disciplines. Its elegant blend of simplicity and applicability has made it a favorite example in algorithms courses, and as a result it is perhaps one of the most commonly implemented algorithmic techniques.
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Journal of Algorithms, 1985
This note shows how to maintain a prefix code that remains optimum as the weights change. A Huffman tree with nonnegative integer weights can be represented in such a way that any weight w at level l can be increased or decreased by unity in O(l) steps, preserving minimality of the weighted path length.
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This note shows how to maintain a prefix code that remains optimum as the weights change. A Huffman tree with nonnegative integer weights can be represented in such a way that any weight w at level l can be increased or decreased by unity in O(l) steps, preserving minimality of the weighted path length.
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Performance comparison of Huffman Coding and Double Huffman Coding
2016 Sixth International Conference on Innovative Computing Technology (INTECH), 2016Huffman coding [11] is a most popular technique for generating prefix-free codes [7, 10]. It is an efficient algorithm in the field of source coding. It produces the lowest possible number of code symbols of a single source symbol [1]. Huffman coding is a most widely used lossless compression technique [2].
Rabia Arshad, Adeel Saleem, Danista Khan
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Forward Looking Huffman Coding
Theory of Computing Systems, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shmuel T. Klein +2 more
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