International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Most Trusted Research Journal Since Year 2012

ISSN: 2319-7064

Research Paper | Computer Science & Engineering | India | Volume 2 Issue 1, January 2013

JPEG Picture Compression Using Discrete Cosine Transform

Nitesh Kumar More, Sipi Dubey

For the past few years, a joint ISO/CCITT committee known as JPEG (Joint Photographic Experts Group) has been working to establish the first international compression standard for continuous tone still images, both grayscale and color. JPEGs proposed standard aims to be generic, to support a wide variety of applications for continuous tone images. To meet the differing needs of many applications, the JPEG standard includes two basic compression methods, each with various modes of operation. A DCT based method is specified for lossy compression, and a predictive method for lossless compression. JPEG features simple lossy technique known as the Baseline method, a subset of the other DCT based modes of operation. The discrete cosine transform (DCT) is a technique for converting a signal into elementary frequency components. It is widely used in image compression. Here we develop some simple functions to compute the DCT and to compress images. The rapid growth of digital imaging applications, including desktop publishing, multimedia, teleconferencing, and high-definition television (HDTV) has increased the need for effective and standardized image compression techniques. Among the emerging standards are JPEG, for compression of still images.

Keywords: Image Compression, JPEG, RLE, Discrete cosine transform DCT, 2-D DC

Edition: Volume 2 Issue 1, January 2013

Pages: 134 - 138


How to Cite this Article?

Nitesh Kumar More, Sipi Dubey, "JPEG Picture Compression Using Discrete Cosine Transform", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=IJSR13010124, Volume 2 Issue 1, January 2013, 134 - 138

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