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Lossless Image Compression Using the Discrete Cosine Transform

✍ Scribed by Giridhar Mandyam; Nasir Ahmed; Neeraj Magotra

Publisher: Elsevier Science
Year: 1997
Tongue: English
Weight: 461 KB
Volume: 8
Category: Article
ISSN: 1047-3203
DOI: 10.1006/jvci.1997.0323

No coin nor oath required. For personal study only.

✦ Synopsis

The DCT has long been used as a method for image two-dimensional images based on the discrete cosine transform (DCT) is proposed. This method quantizes the high-energy coding and has now become the standard for video coding DCT coefficients in each block, finds an inverse DCT from [2]. Its energy compaction capability makes it ideal for only these quantized coefficients, and forms an error residual efficient representation of images. Given a square image sequence to be coded. The number of coefficients used in this block F of size m by m, an m by m matrix C is defined by scheme is determined by using a performance metric for comthe equation: pression. Furthermore, a simple differencing scheme is performed on the coefficients that exploits correlation between C ij ϭ 1 ͙m i ϭ 0 j ϭ 0 . . . m Ϫ 1

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