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DISCRETE COSINE TRANSFORM Out of the image compression techniques available, transform coding is the preferred method. Since energy distribution varies with each image, compression in the spatial domain is not an easy task. Images do however tend to compact their energy in the frequency domain making compression in the frequency domain much more effective. Transform coding is simply the compression of the images in the frequency domain. Transform coefficients are used to maximize compression. For lossless compression, the coefficients must not allow for the loss of any information. The Discrete Cosine Transform (DCT) is an example of transform coding. The current JPEG standard uses the DCT as its basis. The DC relocates the highest energies to the upper left corner of the image. The lesser energy or information is relocated into other areas. The DCT is fast. It can be quickly calculated and is best for images with smooth edges like photos with human subjects. The DCT coefficients are all real numbers unlike the Fourier Transform. The Inverse Discrete Cosine Transform (IDCT) can be used to retrieve the image from its transform representation. DCT: IDCT:
HISTORY OF JPEG The
DCT is the transform used in JPEG compression.
"Joint Photographic Experts
Group" is the original name of the committee that created the JPEG format. The
standard was a joint effort by three of the world's largest standards organizations: The
International Organization for Standardization (ISO), the International Telegraph and
Telephone Consultative Committee (CCITT), and the International Electrotechnical The project began under ISO as Working Group 8
but later merged with CCITT. The Joint Photographic Experts Group, actually a subcommittee
of ISO, was Contact the authors: |