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P. G. Howard and J. S. Vitter, “Parallel Lossless Image Compression Using Huffman and Arithmetic Coding,” Information Processing Letters, Vol. 59, No. 2, 1996, pp. 65-73. doi:10.1016/0020-0190(96)00090-7

has been cited by the following article:

• TITLE: A New Method Which Combines Arithmetic Coding with RLE for Lossless Image Compression

  AUTHORS: Med Karim Abdmouleh, Atef Masmoudi, Med Salim Bouhlel

  KEYWORDS: Adaptive Arithmetic Coding; Static Arithmetic Coding; Arithmetic Coding; Lossless Compression Image; Run Length Encoding

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.5 No.1, December 31, 2011

  ABSTRACT: This paper presents a new method of lossless image compression. An image is characterized by homogeneous parts. The bit planes, which are of high weight are characterized by sequences of 0 and 1 are successive encoded with RLE, whereas the other bit planes are encoded by the arithmetic coding (AC) (static or adaptive model). By combining an AC (adaptive or static) with the RLE, a high degree of adaptation and compression efficiency is achieved. The proposed method is compared to both static and adaptive model. Experimental results, based on a set of 12 gray-level images, demonstrate that the proposed scheme gives mean compression ratio that are higher those compared to the conventional arithmetic encoders.