Stochastic sampling from image coder induced probability distributions

Onur G. Guleryuz; Viresh Ratnakar; Regunathan Radhakrishnan; Nasir Memon

Stochastic sampling from image coder induced probability distributions

Onur G. Guleryuz, Viresh Ratnakar, Regunathan Radhakrishnan, Nasir Memon

Center for Cyber Security

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

Abstract

In this paper we use stochastic sampling to obtain images from the probability distributions induced by well-known image coders SPIHT, JPEG, JPEG2000, and JPEG-LS. Our aim is to obtain actual samples from the typical sets that these coders form in the space of images. We utilize mathematical measures that allow us to quantify the role edges play in representing the resulting sample images. We qualitatively and quantitatively compare these images with a basic form of natural image definition as well as with the standard test images Lenna and Barbara. Our results indicate that today's state-of-the-art image coders are applicable to a variety of localized image regions but they do not significantly model or take advantage of edges that mark the boundaries of different regions.

Original language	English (US)
Title of host publication	Conference Record of the Asilomar Conference on Signals, Systems and Computers
Editors	M.B. Matthews
Pages	1562-1566
Number of pages	5
Volume	2
State	Published - 2003
Event	Conference Record of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States Duration: Nov 9 2003 → Nov 12 2003

Other

Other	Conference Record of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers
Country/Territory	United States
City	Pacific Grove, CA
Period	11/9/03 → 11/12/03

ASJC Scopus subject areas

Electrical and Electronic Engineering
Signal Processing
Hardware and Architecture

Cite this

Guleryuz, OG, Ratnakar, V, Radhakrishnan, R & Memon, N 2003, Stochastic sampling from image coder induced probability distributions. in MB Matthews (ed.), Conference Record of the Asilomar Conference on Signals, Systems and Computers. vol. 2, pp. 1562-1566, Conference Record of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, United States, 11/9/03.

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abstract = "In this paper we use stochastic sampling to obtain images from the probability distributions induced by well-known image coders SPIHT, JPEG, JPEG2000, and JPEG-LS. Our aim is to obtain actual samples from the typical sets that these coders form in the space of images. We utilize mathematical measures that allow us to quantify the role edges play in representing the resulting sample images. We qualitatively and quantitatively compare these images with a basic form of natural image definition as well as with the standard test images Lenna and Barbara. Our results indicate that today's state-of-the-art image coders are applicable to a variety of localized image regions but they do not significantly model or take advantage of edges that mark the boundaries of different regions.",

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AU - Guleryuz, Onur G.

AU - Ratnakar, Viresh

AU - Radhakrishnan, Regunathan

AU - Memon, Nasir

PY - 2003

Y1 - 2003

N2 - In this paper we use stochastic sampling to obtain images from the probability distributions induced by well-known image coders SPIHT, JPEG, JPEG2000, and JPEG-LS. Our aim is to obtain actual samples from the typical sets that these coders form in the space of images. We utilize mathematical measures that allow us to quantify the role edges play in representing the resulting sample images. We qualitatively and quantitatively compare these images with a basic form of natural image definition as well as with the standard test images Lenna and Barbara. Our results indicate that today's state-of-the-art image coders are applicable to a variety of localized image regions but they do not significantly model or take advantage of edges that mark the boundaries of different regions.

AB - In this paper we use stochastic sampling to obtain images from the probability distributions induced by well-known image coders SPIHT, JPEG, JPEG2000, and JPEG-LS. Our aim is to obtain actual samples from the typical sets that these coders form in the space of images. We utilize mathematical measures that allow us to quantify the role edges play in representing the resulting sample images. We qualitatively and quantitatively compare these images with a basic form of natural image definition as well as with the standard test images Lenna and Barbara. Our results indicate that today's state-of-the-art image coders are applicable to a variety of localized image regions but they do not significantly model or take advantage of edges that mark the boundaries of different regions.

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AN - SCOPUS:4143129109

VL - 2

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BT - Conference Record of the Asilomar Conference on Signals, Systems and Computers

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T2 - Conference Record of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers

Y2 - 9 November 2003 through 12 November 2003

ER -

Stochastic sampling from image coder induced probability distributions

Abstract

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ASJC Scopus subject areas

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