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(a) Reconstructed image (bit rate = 2.72 bpp) with the JPEG2000 coding with the proposed preprocessor and (b) reconstructed image (bit rate = 4.53 bpp) with the conventional one.
In the processing chain, it is possible that there is the need to apply a DCT to the image, for example, to apply a watermark in such a domain, or to reduce to zero some coefficients in order to reduce the image bit rate.
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Table 4 Comparison of number of rounding operations in each one-dimensional transform of M × 1 signals Conventional FLTs Proposed FLTs 8 × 16 FLOT 72 36 8 × 16 FLBT 84 48 16 × 32 FLOT 240 90 16 × 32 FLBT 264 114 Figure 4 Comparison of particular area of reconstructed image Barbara when bit rate is 0.25 (bpp).
Figure 23 Bit rate of the enhancement layer for various images at 35 dB LDR image quality.
Figure 21 Bit rate of the enhancement layer for type A image 'tree'tree
Figure 22 Bit rate of the enhancement layer for type B image 'tree'tree
Figure 16 Bit rate of the enhancement layer for type A image 'cannon'cannon
At the JPEG quality factor of 85, the JPEG coding with the proposed preprocessor results in the reconstructed image (Figure 8b) with the bit rate of 0.45 bits per pixel (bpp) while the conventional JPEG coding results in the reconstructed image (Figure 8c) with the bit rate of 0.54 bpp.
By optimal combining transform-based coding with predictive coding, the proposed compressor achieves higher average image quality and lower bit rate as compared to significantly more complex JPEG-LS based coding schemes.
Therefore, more memory was required for more complex image and higher coding bit rate.
The dynamic range of prediction error signals we can reduce, the less objective distortion of the reconstructed color image for a given bit rate we can achieve [25].
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