A method of sequentially predicting DCT coefficients using gradient information of an input signal and its application to image compression (with K. Ashizawa, J. Ogawa, and K. Yamatani), Urban Science Studies, vol. 14, pp. 63-70, 2009 (in Japanese).
Abstract
The JPEG standard is the most popular still image compression technique based
on the discrete cosine transform (DCT). The JPEG standard achieves a high
compression ratio with little perceivable loss in image quality by the
quantization of the DCT coefficients and the entropy coding. The quantization
of the low frequency components, however, causes the blocking artifacts.
The quantization of the high frequency components also influences the
representation of the texture and the object contour. In this paper,
we propose a new multiple prediction scheme of AC coefficients for the DCT.
Our purpose is to improve the above situation based on the AC prediction scheme
for the JPEG standard. Our mathematical concept is to match the prediction
in terms of the gradients at the several points equally arranged on the DCT
block. We numerically compared our method with some of the other AC prediction
methods previously proposed using the eight standard images.
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