Combined vector quantization and adaptive histogram equalization

Pamela C. Cosman; Eve A. Riskin; Robert M. Gray

Combined vector quantization and adaptive histogram equalization

Pamela C. Cosman, Eve A. Riskin, Robert M. Gray

Department of Electrical and Computer Engineering

Stanford University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Adaptive histogram equalization is a contrast enhancement technique in which each pixel is remapped to an intensity proportional to its rank among surrounding pixels in a selected neighborhood. We present work in which adaptive histogram equalization is performed on the codebook of a tree-structured vector quantizer so that encoding with the resulting codebook performs both compression and contrast enhancement. The algorithm was tested on magnetic resonance brain scans from different subjects and the resulting images were significantly contrast enhanced.

Original language	English
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Pages	213-218
Number of pages	6
State	Published - 1992
Event	Medical Imaging VI: Image Capture, Formatting, and Display - Newport Beach, CA, USA Duration: 23 Feb 1992 → 24 Feb 1992

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	1653
ISSN (Print)	0277-786X

Conference

Conference	Medical Imaging VI: Image Capture, Formatting, and Display
City	Newport Beach, CA, USA
Period	23/02/92 → 24/02/92

Cite this

@inproceedings{c7696a19f9024f4ca326839ca175f134,

title = "Combined vector quantization and adaptive histogram equalization",

abstract = "Adaptive histogram equalization is a contrast enhancement technique in which each pixel is remapped to an intensity proportional to its rank among surrounding pixels in a selected neighborhood. We present work in which adaptive histogram equalization is performed on the codebook of a tree-structured vector quantizer so that encoding with the resulting codebook performs both compression and contrast enhancement. The algorithm was tested on magnetic resonance brain scans from different subjects and the resulting images were significantly contrast enhanced.",

author = "Cosman, \{Pamela C.\} and Riskin, \{Eve A.\} and Gray, \{Robert M.\}",

year = "1992",

language = "English",

isbn = "0819408050",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

pages = "213--218",

booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

note = "Medical Imaging VI: Image Capture, Formatting, and Display ; Conference date: 23-02-1992 Through 24-02-1992",

}

Cosman, PC, Riskin, EA & Gray, RM 1992, Combined vector quantization and adaptive histogram equalization. in Proceedings of SPIE - The International Society for Optical Engineering. Proceedings of SPIE - The International Society for Optical Engineering, vol. 1653, pp. 213-218, Medical Imaging VI: Image Capture, Formatting, and Display, Newport Beach, CA, USA, 23/02/92.

Combined vector quantization and adaptive histogram equalization. / Cosman, Pamela C.; Riskin, Eve A.; Gray, Robert M.
Proceedings of SPIE - The International Society for Optical Engineering. 1992. p. 213-218 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1653).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Riskin, Eve A.

AU - Gray, Robert M.

PY - 1992

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N2 - Adaptive histogram equalization is a contrast enhancement technique in which each pixel is remapped to an intensity proportional to its rank among surrounding pixels in a selected neighborhood. We present work in which adaptive histogram equalization is performed on the codebook of a tree-structured vector quantizer so that encoding with the resulting codebook performs both compression and contrast enhancement. The algorithm was tested on magnetic resonance brain scans from different subjects and the resulting images were significantly contrast enhanced.

AB - Adaptive histogram equalization is a contrast enhancement technique in which each pixel is remapped to an intensity proportional to its rank among surrounding pixels in a selected neighborhood. We present work in which adaptive histogram equalization is performed on the codebook of a tree-structured vector quantizer so that encoding with the resulting codebook performs both compression and contrast enhancement. The algorithm was tested on magnetic resonance brain scans from different subjects and the resulting images were significantly contrast enhanced.

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M3 - Conference contribution

AN - SCOPUS:0026970715

SN - 0819408050

T3 - Proceedings of SPIE - The International Society for Optical Engineering

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BT - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Medical Imaging VI: Image Capture, Formatting, and Display

Y2 - 23 February 1992 through 24 February 1992

ER -

Combined vector quantization and adaptive histogram equalization

Abstract

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Conference

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