O. Egger, P. Fleury, T. Ebrahimi, and M. Kunt, "High-performance compression of visual information -- a tutorial review-- part I : Still pictures," Proceedings of the IEEE, vol. 87, p. 1999. Home/Search Document Details and Download
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Image Quality Statistics and Their Use in Steganalysis and.. - Avcibas (2001) (Correct)
.... for potential use in applications like tele radiology where a physician can request portions of an image at increased quality (including lossless reconstruction) while accepting unimportant portions at much lower quality, thereby reducing the overall bandwidth 65 required for transmitting an image [82, 83]. Indeed, the new still image compression standard, JPEG 2000, provides such features in its extended forms [84] Although reversible integer wavelet based image compression techniques provide integration of lossless and lossy compression in one single framework, the compression performance they ....
Egger, O., P. Fleury, T. Ebrahimi, and M. Kunt, "High-Performance Compression of Visual Information---A Tutorial Review---Part I: Still Pictures", Proceedings of the IEEE, Vol. 87, No. 6, June 1999.
JPEG2000 Decoder Architecture for Mobile Applications - Martina, Masera.. (Correct)
....The joint e#ect of DC component suppression and unitary gain assures that sample range constraints are fulfilled during the whole wavelet transform. B. Quantizer JPEG2000 resorts to a scalar uniform quantizer as intermediate stage between transform and entropy encodind phases. Surprisingly [8] this simple quantizer is nearoptimal in many cases. Actually it is optimal if the input X has a Laplacian or an exponential probability density function. Otherwise the performance are only slightly reduced with respect to the optimal quantizer. From an encoding perspective this block is mainly ....
O. Egger, P. Fleury, T. Ebrahimi, and M. Kunt, "Highperformance compression of visual information -- a tutorial review. I. Still pictures," Proceedings of the IEEE, vol. 87, no. 6, pp. 976--1013, June 1999.
Wavelet Based Image Compression using Daubechies Filters - Gupta, Kaur (2002) (Correct)
....and Discussion In the case of lossy compression, the reconstructed image is only an approximation to the original. Although many performance parameters exist for quantifying image quality, it is most commonly expressed in terms of peak signal to noise ratio (PSNR) which is defined as follows [7]. 2552 PSNR = 1010g0 2 (2) 2 where cr is the mean squared error(MSE) given by 2 1 r r )2 O gr , o o [X, j X, j (3) where x[ is the original image with dimensions MxN and c[ is the reconstructed image. The larger PSNR values correspond to good image quality. In order to evaluate ....
....filters were conducted at four different resolution levels followed by thresholding. These experiments were performed on three natural images: Lena, Barbara and Goldhill, which are the canonical 8bpp grayscale test images used frequently in the image compression literature [9] Table II shows PSNR [7] results for reconstructed images at various decomposition levels and table III gives the compression ratios achieved. The values shown in boldface represent the best result for each image at each decomposition level. The numerical results show that the PSNR decreases whereas compression ratio ....
O. Egger, P. Fleury, T. Ebrahimi and M. Kunt, "High-performance compression of visual information-A tutorial review-part I: Still pictures," in Proc. IEEE, vol. 87, no. 6, June 1999.
Best Achievable Compression Ratio for Lossy Image Coding - Garcia, Fdez-Valdivia.. (1999) (Correct)
....the image transfer time and therefore reduces the cost; applying image compression also reduces the storage requirements, network trac, and therefore improves eciency. During the past two decades, various lossless and lossy image coding techniques have been developed (for a list of references see [1]) Typical lossless coders can attain compression ratios of only 2 : 1 or 3 : 1 for most images, thus users often prefer to deal with lossy algorithms which can achieve high compression rates, e.g. 50 : 1 or more. The problem is that high compression ratios are possible at the cost of imperfect ....
Egger, O., Fleury, P., Ebrahimi, T., and Kunt, M. \High-performance compression of visual information{A Tutorial Review{Part I: Still Pictures", Proceedings of the IEEE, Vol. 87, No. 6, (1999).
Image Sequence Processing - Borman, Stevenson (2002) (Correct)
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O. Egger, P. Fleury, T. Ebrahimi, and M. Kunt, "High-performance compression of visual information -- a tutorial review-- part I : Still pictures," Proceedings of the IEEE, vol. 87, p. 1999.
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