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E.H. Hong and R.E. Ladner, "Group testing for image compression", in Proceedings of Data Compression Conference (DCC2000), IEEE Computer Society, 3--12, 2000

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Trends of Tree-Based,Set-Partitioning Compression Techniques in.. - Systems   (Correct)

....coders presented here are good candidates for meeting these requirements while achieving state of the art compression efficiency. There are other, set partitioning coders that use more adaptive set partitioning schemes to obtain slightly better performance with a small increase in complexity[3, 12, 7]. We believe that the set partitioning paradigm is essential to keep the computational cost and complexity resonably low and still achieve superior compression efficiency. ....

E. S. Hong and R. E. Ladner. Group testing for image compression. Proceedings of Data Compression Conference (DCC 2000.


Group Testing for Video Compression - Shavit, Ringenburg, West, Ladner.. (2004)   Self-citation (Ladner)   (Correct)

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E. S. Hong and R. E. Ladner. Group testing for image compression. In Proc. DCC '00, pages 3--12, March 2000.


Group Testing for Image Compression - Hong (2000)   (4 citations)  Self-citation (Hong Ladner)   (Correct)

....Ken Yasuhara. Apologies to the many other students that helped that I may have neglected to mention. Portions of this thesis have been previously published in other conferences; this thesis expands upon these papers and adds some new material. Portions of chapter 5 and chapter 6 can be found in [20]. Chapter 7 can be found in [21] Chapter 8 will be published in [22] I would also like to thank the people who graciously provided code for image compression. This includes: G. Davis et al. for the Baseline Wavelet Transform Coder Construction Kit [11] H. S. Malvar for code that computes the ....

....through the use of model parameter inquiries. A balanced approach that uses both methods has the potential to work better, although it makes the group testing problem more difficult to solve. 68 GROUP TESTING FOR WAVELETS This chapter explains the new Group Testing for Wavelets (GTW) algorithm [20], a wavelet transform based image coder that uses group testing. Our work was motivated by seeing group testing as a generalization of zerotree coding. Thus, our image coder was created to determine whether using group testing instead of zerotree coding would make a significant performance ....

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E. S. Hong and R. E. Ladner. Group testing for image compression. In Proceedings DCC 2000, Data Compression Conference, pages 3--12.


Group Testing for Image Compression Using Alternative.. - Hong, Ladner, Riskin (2003)   Self-citation (Hong Ladner)   (Correct)

....and Engineering University of Washington, Box 352350 fedhong,ladnerg cs.washington.edu Eve A. Riskin Department of Electrical Engineering University of Washington, Box 352500 Seattle, WA 98195 2500 riskin ee.washington.edu Abstract This paper extends the Group Testing for Wavelets [1] algorithm to code coefficients from the wavelet packet transform, the discrete cosine transform, and various lapped transforms. In terms of compression performance, these new algorithms are competitive with many recent stateof the art image coders that use the same transforms. We also show that ....

....of an image. Although the wavelet transform has received the most attention in recent years, alternative transforms such as wavelet packets and various block transforms have also been effectively applied to images. In this paper, we extend the Group Testing for Wavelets (GTW) algorithm [1] to apply to alternative transforms which have previously been used for image compression, including the wavelet packet transform, the discrete cosine transform (DCT) and several versions of the lapped transform [4] 5] As presented in [1] the group testing framework transforms an image and ....

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E. S. Hong and R. E. Ladner, "Group testing for image compression," IEEE Transactions on Image Processing, 2002, To appear.


Group Testing for Block Transform Image Compression - Hong, Ladner, Riskin (2001)   Self-citation (Hong Ladner)   (Correct)

....Eve A. Riskin Department of Electrical Engineering University of Washington Seattle, WA 98195 2500 riskin ee.washington.edu Abstract This paper introduces a new image coder based on several different block transforms and on group testing. It extends the Group Testing for Wavelets algorithm [2] by replacing the discrete wavelet transform with the discrete cosine transform, and orthogonal and biorthogonal lapped transforms. In particular, we compare the performance of group testing on different block transforms, and show that on the standard Barbara image, the rate distortion performance ....

.... discrete cosine transform (DCT) Zerotree coding has also been applied to lapped transforms (see [6, 9] which are block based transforms originally designed to reduce blocking artifacts [5] In this paper, we extend our group testing technique from our group testing for wavelets algorithm (GTW) [2] to coefficients generated from block based transforms. The zerotree technique [8] was motivated by the multiresolution structure of the wavelet transform, where coefficients could be organized into trees formed across different subbands. The mismatch between the zerotree structure and the ....

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E. S. Hong and R. E. Ladner. Group testing for image compression. In Proceedings DCC, pages 3--12, March 2000.


Group Testing for Wavelet Packet Image Compression - Hong, Ladner, Riskin (2001)   Self-citation (Hong Ladner)   (Correct)

.... Edwin S. Hong y Richard E. Ladner y Eve A. Riskin z Abstract This paper introduces Group Testing for Wavelet Packets (GTWP) a novel embedded image compression algorithm based on wavelet packets and group testing. This algorithm extends the Group Testing for Wavelets (GTW) algorithm [7] to handle wavelet packets. Like its predecessor, GTWP obtains good compression performance without the use of arithmetic coding. It also shows that the group testing methodology is very flexible and can be applied in many different circumstances. 1 Introduction Zerotree coding methods (as ....

....the standard pyramidal wavelet decomposition of an image and generate an embedded bit stream. The wavelet packet transform is a generalization of the standard pyramidal decomposition and adapts to the particular image being coded to obtain better coding performance. In this paper, we apply GTW [7], a generalization of zerotree coding, to the wavelet packet transform. Based on the work of Xiong et al. 19] it is known that using the wavelet packet decomposition to an image can improve the PSNR by 0.8 1.3 dB for some images, when compared with the standard wavelet transform. Unfortunately, ....

[Article contains additional citation context not shown here]

E. S. Hong and R. E. Ladner. Group testing for image compression. In Proceedings DCC 2000, Data Compression Conference, pages 3--12.


Group Testing for Wavelet Packet Image Compression - Hong, Ladner, Riskin (2001)   Self-citation (Hong Ladner)   (Correct)

.... Edwin S. Hong y Richard E. Ladner y Eve A. Riskin z Abstract This paper introduces Group Testing for Wavelet Packets (GTWP) a novel embedded image compression algorithm based on wavelet packets and group testing. This algorithm extends the Group Testing for Wavelets (GTW) algorithm [6] to handle wavelet packets. Like its predecessor, GTWP obtains good compression performance without the use of arithmetic coding. It also shows that the group testing methodology is very exible and can be applied in many di erent circumstances. 1 Introduction Zerotree coding methods (as ....

....the standard pyramidal wavelet decomposition of an image and generate an embedded bit stream. The wavelet packet transform is a generalization of the standard pyramidal decomposition and adapts to the particular image being coded to obtain better coding performance. In this paper, we apply GTW [6], a generalization of zerotree coding, to the wavelet packet transform. Based on the work of Xiong et al. 18] it is known that using the wavelet packet decomposition to an image can improve the PSNR by 0.8 1.3 dB for some images, when compared with the standard wavelet transform. Unfortunately, ....

[Article contains additional citation context not shown here]

E. S. Hong and R. E. Ladner. Group testing for image compression. In Proceedings DCC 2000, Data Compression Conference, pages 3-12.


Generalized Framework for Selectors with Applications.. - De Bonis, Gasieniec.. (2003)   (Correct)

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E.H. Hong and R.E. Ladner, "Group testing for image compression", in Proceedings of Data Compression Conference (DCC2000), IEEE Computer Society, 3--12, 2000


A Unification Framework for Tree and Block Wavelet Encoders - Yin, Fleury, Downton   (Correct)

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E. S. Hong and R. E. Ladner. Group testing for image compression. In Data Compression Conference, DCC'00, pages 3--12, 2000.


Context-Based Entropy Coding of Block Transform Coefficients for .. - Tu, Tran (2002)   (1 citation)  (Correct)

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E. S. Hong and R. E. Ladner, "Group testing for image compression," in Proc. 2000.

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