Matlab simulation in Missouri:
Matlab simulation in Missouri Even though the GSB method allows for decoding of partial background information in conjunction with thematlab simulation in Missouri VOI, this partial information is determined by manually selecting a scaling value for the background coefficients, which may affect the coding performance. The proposed method requires no manual selection of a scaling value, as it employs a
weighting model and an optimization technique to determine the optimal amount of background information that minimizes the overallmatlab simulation in Missouri distortion of the image. This is done by reordering the output bit-stream after compression. As a result, in the peripheral regions of the VOI, low-frequency code-cubes with large weights have a greater opportunity to be included earlier in the output bit-stream.
In the VOI, both low- and high-frequency code-cubes are included earlier in the output bit-stream because of their large weights. It can also be seen inmatlab simulation in Missouri that, sequences, achieves higher PSNR values for the VOI than those achieved by the proposed method, especially at low bit-rates This is expected, since first decodes the VOI coefficients before decoding any background coefficients.
Note that the apparent high PSNR values achieved by for the background at low bit-rates are due to the smearing effects of the wavelet filter, which may matlab simulation in Missouriresult in some background areas surrounding the VOI being decoded in conjunction with the VOI.
Also note that as the bit-rate increases, the quality of the VOI decoded by the three evaluated methods tends to be very similar, since more bits are decoded and thematlab simulation in Missouri reconstruction quality approaches the lossless case. It is important to mention that the plots in Fig present different behaviors for the case of the method.