Discrete trigonometric transform and its usage in digital image processing

• Autorzy: Shumeiko A. , Smorodskyi V.
• Języki publikacji: EN

Abstrakty

EN

The achieved discrete trigonometric transform allows building of adaptive filters to suit their area of application. By varying the phase shift can be achieved improved quality of source data recovery in case the frequency coefficients undergo distortion. This transformation is well manifested itself in the problem of image compression, showing better results than the discrete cosine transform.

Słowa kluczowe

EN

discrete cosine transform; discrete Fourier transform; discrete trigonometric transform; signal; filter

• Wydawca: Polish Academy of Sciences, Branch in Lublin
• Czasopismo: ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
• Rocznik: 2017
• Tom: Vol. 6, No 4
• Strony: 21--26
• Opis fizyczny: Bibliogr. 10 poz., rys., wykr., wz.

Twórcy

autor

Shumeiko A.

• Dniprovsk state technical university

autor

Smorodskyi V.

• Dniprovsk state technical university

Bibliografia

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• 5. Salomon D. 2004. Compression of data, images and sound - Moscow: Technosphere. - 368. (in Russion).
• 6. Taubman David and Michael Marcellin 2012. JPEG2000 Image Compression Fundamentals, Standards and Practice: Image Compression Fundamentals, Standards and Practice. Vol. 642. Springer Science & Business Media, 2012.
• 7. Gonzales, Rafael C., Richard E. Woods and Steven L. Eddins. 2004. Digital image processing using MATLAB. Pearson Prentice Hall.
• 8. Hartley R. 1942. A more symmetrical Fourier analysis applied to transmission problems. Proc. IRE 30, 144–150.
• 9. Bracewell R. 1986. The Hartley Transform: Oxford Univ. Press, London.
• 10. Kodak Lossless True Color Image Suite. http://r0k.us/graphics/kodak/.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).