Two-Dimensional Significant Bit Prediction of Wavelet Image Decomposition Coefficients

Jakościowa Estymacja Skompresowanych Plików Video Typu DVC Z Zastosowaniem Transformacji Falkowych

“…However, information about the high frequency components can be extracted from the low frequency ones. For each frame on the receiving side, the reverse wavelet transform reconstructs the image, including the high-frequency coefficients by the interpolation method [5,6]. In the encoder, frames are decimated and only every second of the video sequence is transmitted.…”

“…By the complexity of the movement, we will understand a qualitative characteristic that depends on the intensity and direction of movement of objects in the video sequence: the faster and more chaotically the objects move, the more complex the movement. We will sort the sequences according to this criterion, and also estimate for each sequence the gain from applying the developed algorithm for generating additional information using the BD-PSNR criterion, which allows us to estimate the difference between two "speed-distortion" curves [6]. The results of this analysis are shown in Table 2.…”