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This obtained result is more accurate than all results quoted precisely where the NC decreases with the increase of the image compression rate.
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For the lossless image compression, the bit-rates (bit/pixel) are important.
Figure 9 shows the extracted watermarks after compressing Lena image with different compression rates.
In addition, we experimentally demonstrate with natural images that under similar compression rate, a CS system with a learned dictionary in high dimensions outperforms the one in low dimensions in terms of reconstruction accuracy.
It is shown that this colorization technique is effective to image coding, especially for high compression rate, through the experiments using different types of images.
This combination can compress the original image to a number of images with different compression rates.
The NC value stills equal to 1 when the rate of image compression goes from 10%to70%0%.
The bit-rates of image compression can be given using integer lifting structure of 5/3 wavelet, 9/7 wavelet, iDTT, and the IUPILWs proposed in Section 3. The results are shown in Table 8.
The main shortcoming of the pixel refresh coding is that it does not adequately exploit the large spatial redundancy inherent in image data to further increase the compression rate.
Thirty minutes later, the nanowires surface layer was then compressed with a compression rate of 20 cm20min−1.
This algorithm can provide low average compression rate ( bits/pixel) with high image quality (larger than dB) for endoscopic images.
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