Discrete cosine transform: algorithms, advantages, applications
Discrete cosine transform: algorithms, advantages, applications
Adaptive quantization with spatial constraints in subband video compression using wavelets
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
Data Compression
Configurable variable length code for video coding
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
An adaptive quantization algorithm for video coding
IEEE Transactions on Circuits and Systems for Video Technology
A comparative study of DCT- and wavelet-based image coding
IEEE Transactions on Circuits and Systems for Video Technology
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Delivery of video in the presence of bandwidth constraints is one of the most important video compression problems. In this work, the preprocessing for video compression is started by extracting any video format into raw data format and applying float wavelet transform on each frame. This step provides the video frames to perform an adaptive quantization in a frequency domain. This leads to reduce the quantity of information in higher bands (HL, LH, and HH). The proposed preprocessing method is tested on different video sequences and its performance is compared in terms of quality and compression ratio. The obtained results show that for the second level of wavelet decomposition the effect of quantization is reasonable with preserving the quality (PSNR = 28 dB) of reconstructed frame.