XSET - Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition - page 89

Table 2
Average PSNR(DB) Improvement of H i -SET in Front of JPEG2000 for TID2008 Image Database

Components Y YC b C r

Resolution Low Medium Low Medium

Compression ratio (bpp) 0.55 0.17 0.93 0.33

Image quality (dB) 1.84 0.43 1.79 1.06

The H i -SET coder improves the image quality of the JPEG2000 coder around
PSNR = 1.16 dB for gray-scale images and 1.43 dB for color ones. Furthermore, it saves around
0.245 bpp for high-resolution gray-scale images. Thus, the results across the CMU image data-
base resulted H i -SET improved the results of JPEG2000 not only objectively but also by met-
rics like MSSIM, VIF, or WPSNR, which are perceptual indicators.
This is why in Section 3.1 Forward (F-pSQ) and Inverse (I-pSQ) perceptual quantizer using
CBPF are defined. When F-pSQ and I-pSQ are incorporated to H i -SET, a perceptual image
compression system XSET is proposed. In order to measure the effectiveness of the perceptual
quantization, a performance analysis is done using the most important image quality assess-
ments such as PSNR, MSSIM, VIF, or WSNR. In addition, when both forward and inverse per-
ceptual quantization are applied into H i -SET, namely, using XSET, it significatively improves
the results regarding the JPEG2000 compression.

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