Test signals for assessment image quality in HD and UHD TV video path

Gofaizen, Oleg; Osharovska, Olena; Patlayenko, Mikola; Pyliavskyi, Volodymyr

doi:10.1109/uwbusis.2016.7724147

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Discrete Cosine Transformation and Constraint1

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Cited by 6 publications

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“…The JPEG algorithm discards many of these highfrequency (noise-like) details and saves slowly changing B-55 information about the image. This is done by dividing all the coefficients of the equation by the corresponding value in the quantization table and rounding the result to the nearest integer (4). Components that had either a small coefficient or a large divisor in the quantization table are likely to be rounded to zero.…”

Section: Discrete Cosine Transformation and Constraintmentioning

confidence: 99%

Fourier Analysis of the Texture of High-Definition Images

Osharovska¹,

M.²,

Pyliavskyi³

2018

ELIT-2018

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This paper presents the results of measuring the signal-to-noise ratio at the boundary of object contours in highdefinition images after compression of the original digital stream based on the Fourier transform and the discrete cosine transform. It is shown that when choosing the threshold for limiting the spectral components of the image, one should not only focus on the frequency, but also take into account the magnitude of the differences in the brightness signal in areas of low-contrast textures.

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Section: Discrete Cosine Transformation and Constraintmentioning

confidence: 99%