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This is an arbitrary limit, but it is easy to overlook The encoder must therefore ensure that this limit is not exceeded, or else the files it produces will not be readable by decoders that conform to the JPEG standard Suppose that the Y component has horizontal and vertical sampling frequencies of 4 Since the Y component would contribute 16 data units to an MCU in an interleaved scan, with these sampling frequencies the Y component would have to be encoded by itself in a noninterleaved scan The sample encoder throws an exception if the user tries to create scans with more than 10 data units per MCU An alternative would be for the encoder to limit the user's options to sampling frequencies that will not exceed this limit For instance, the encoder could give the user a choice of making all the sampling frequencies 1 (3 data units per MCU) or allow the Y component to have sampling frequencies of 2 and the other components to have sampling frequencies of 1 (6 data units per MCU) Yet another possibility would be for the encoder to automatically assign components to separate scans if the number of data units in an MCU is too large Restart Markers Restart markers are used to create independently encoded blocks of MCUs In a sequential JPEG file the DC coefficient is encoded as a difference value rather than as an absolute value When an image contains no restart markers, every MCU, except for the first, depends upon the previous MCU being decoded correctly1 If the encoded data for an MCU gets corrupted (eg, while the file is being transmitted over a telephone line), each subsequent MCU will be incorrectly decoded If an image contains restart markers, a decoder can use them to recover from corrupt compressed data Since restart markers are placed in the output stream in sequence, decoders can compare the last one read before the corrupt data was encountered to the current one and use the restart interval to determine where in the image the decoding should resume This works as long as the corruption in the compressed stream does not span eight restart markers If it does, the decoder will not be able to match the remaining compressed data to its correct location within the image.

Total antioxidant capacity of plant foods, beverages and oils consumed in Italy assessed by three in-vitro assays Journal of Nutrition, 133, 2812 2819 99 Mattila, P, Hellstroem, J, Toerroenen, R (2006) Phenolic acids in berries, fruits, and beverages Journal of Agricultural and Food Chemistry, 54, 7193 7199 100 Richelle, M, Tavazzi, I, Offord, E (2001) Comparison of the antioxidant activity of commonly consumed polyphenolic beverages (coffee, cocoa, and tea) prepared per cup serving Journal of Agricultural and Food Chemistry, 49, 3438 3442 101 Van Dam, RM, Feskens, EJ (2002) Coffee consumption and risk of type 2 diabetes mellitus Lancet, 360, 1477 1478 102 Ascherio, A, Zhang, SM, Hernan, MA, Kawachi, I, Colditz, GA, Speizer, FE, Willet, WC (2001).

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Prospective study of caffeine consumption and risk of Parkinson s disease in men and women Annals of Neurology, 50, 56 63..

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103. Tverdal, A., Skurtveit, S. (2003). Coffee intake and mortality from liver cirrhosis. Annals of Epidemiology, 13, 419 423. 104. Tavani, A., La Vecchia, C. (2000). Coffee and cancer: a review of epidemiological studies, 1990 1999. European Journal of Cancer Prevention, 9, 241 256. 105. Leitzmann, M.F., Stampler, M.J., Willet, W.C., Spiegelman, D., Colditz, G.A., Giovannucci, E.L. (2002). Coffee intake is associated with lower risk of symptomatic gallstone disease in women. Gastroenterology, 123, 1823 1830. 106. Frost Andersen, L., Jacobs, D.R., Carlsen, M.H., Blomhoff, R. (2006). Consumption of coffee is associated with reduced risk of death attributed to in ammatory and cardiovascular diseases in the Iowa Women s Health Study. American Journal of Clinical Nutrition, 83, 1039 1046. 107. Adom, K.K., Liu, R.H. (2002). Antioxidant activity of grains. Journal of Agricultural and Food Chemistry, 9, 6182 6187. 108. Anderson, J.W. (2000). Whole grain foods and heart disease risk. Journal of the American College of Nutrition, 19 (Suppl. 3), 291S 299S. 109. Murtaugh, M.A., Jacobs, D.R., Jacob, B., Steffen, L.M., Marquart, L. (2003). Epidemiological support for the protection of whole grain against diabetes. Proceedings of the Nutrition Society, 62, 143 149. 110. Liu, S. (2003). Whole grain foods, dietary bre, and type 2 diabetes: searching for a kernel of truth. American Journal of Clinical Nutrition, 77, 527 529. 111. Jacobs, D.R., Marquart, L., Slavin, J.L., Kushi, L.H. (1998). Whole grain intake and cancer: an expanded review and meta-analysis. Nutrition and Cancer, 30, 85 96. 112. Liu, S., Willett, W.C., Manson, J.E. (2003). Relation between intakes of dietary bre and grain products and changes in weight and development of obesity among middle-aged women. American Journal of Clinical Nutrition, 78, 920 927.

Table 117 A comparison of major ndings in the wavelet change attack characteristics based on the ve wavelet transforms Wavelet change attack characteristics based on DoG wavelet 13 Server 9 15 Haar wavelet Daubechies wavelet Morlet wavelet 14

In progressive JPEG there can be dependencies among the data units from the AC coefficients as well

International Food Information Council, 1100 Connecticut Ave. NW, Suite 430, Washington, DC 20036, USA

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