Adaptive decomposition of TV images
Oleg Gofaizen, Olena Osharovska, Mikola Patlayenko, Volodymyr Pyliavskyi · 2017
The paper presents the results of modeling adaptive decomposition for ultra-high definition television, which provides image compression without subjective deterioration of quality. The decomposition of the images was carried out in the spectral region for the cases of wavelet analysis and Fourier transformation, depending on the signal-to-noise ratio at the image edges. Quantitative estimates of the root-mean-square error in the reconstruction of the image and the dependence of the signal-to-noise ratio on the edges on the compression coefficient are given. The number of non-zero components to be transmitted for the luminance and color difference components at two and three decomposition levels is calculated.