Abstract
In this article, a prediction error preprocessor based on the just noticeable distortion (JND) for the color image compression scheme is presented. The dynamic range of prediction error signals we can reduce, the lower bit rate of the reconstructed image we can obtain at high visual quality. We propose a color JND estimator that is incorporated into the design of the preprocessor in the compression scheme. The color JND estimator is carried out in the wavelet domain to present good estimates to the available amount masking. The estimated JND is used to preprocess the signal and is also used to incorporate into the design of the quantization stage in the compression scheme for higher performance. Simulation results show that the bit rate required by the compression scheme with the preprocessor is lower at high visual quality of the reconstructed color image. The preprocessor is further applied to the input color image of the JPEG and JPEG2000 coders for better performance.
Highlights
In the Internet, where the transmission bandwidth is limited, the growing demand for representing high-quality color images is expected
The color image compression scheme should take into account the properties of the human visual system (HVS) when considering the image quality as the critical performance to be achieved
A prediction error preprocessor is presented with the goal to reduce the dynamic range of the prediction error signals of the color image to be compressed
Summary
In the Internet, where the transmission bandwidth is limited, the growing demand for representing high-quality color images is expected. The subband differs from each other in terms of its sensitivity and visual masking properties By using such characteristics, the wavelet-domain JND of each coefficient in luminance (Y) and chrominance (Cb and Cr) components of color images can be estimated in a locally adaptive fashion based on the wavelet decomposition. The JNDs mainly attempt to design a prediction error preprocessor that can shape the prediction error signals more smooth instead of investigating the adaptive prediction while the same visual quality of the reconstructed color image for lower compression bit rates is achieved. The subband JND profiles of the input color image obtained by using the JND estimator presented in Section 2 are incorporated into the proposed prediction error preprocessor to shape the prediction error and decide the reconstruction level for achieving the increased performance in terms of bit rate at a specified visual quality. The better performance can be seen while the JPEG2000 coding with the proposed preprocessor is adopted
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