Papers

Title: Analysis of Image Compression Using BTC - PF Algorithm for Random Color Image
Year of Publication: 2017
Publisher: International Journal of Computer Systems (IJCS)
ISSN: 2394-1065
Series: Volume 04, Number 2, February 2017
Authors: Pooja Tiwari, Rajit Nair, Ramgopal Kashyap

Citation:

Pooja Tiwari, Rajit Nair, Ramgopal Kashyap, "Analysis of Image Compression Using BTC - PF Algorithm for Random Color Image", In International Journal of Computer Systems (IJCS), pp: 18-23, Volume 4, Issue 2, February 2017. BibTeX

@article{key:article,
	author = {Pooja Tiwari, Rajit Nair, Ramgopal Kashyap},
	title = {Analysis of Image Compression Using BTC –PF Algorithm for Random Color Image},
	journal = {International Journal of Computer Systems (IJCS)},
	year = {2017},
	volume = {4},
	number = {2},
	pages = {18-23},
	month = {February}
	}


Abstract

This paper aims to proposed block truncation code (BTC)-pattern fitting (PF) algorithm for image compression of continuous tone still image to achieve low bit rate and high quality. The algorithm has been proposed by combining code book generation and quantization. The algorithm is proposed based on the assumption that the computing power is not the limiting factor. The parameters considered for evaluating the performance of the proposed method are compression ratio and subjective quality of the reconstructed images. The performance of proposed algorithm including color image compression, progressive image transmission is quite good. The effectiveness of the proposed scheme is established by comparing the performance with that of the existing methods.

References

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Keywords

Block Truncation Code (BTC), Pattern Fitting, Table Look-up, Pattern book, Quantization.