Abstract
Coring is a well-known technique for removing noise from images. The mechanism of coring consists of transforming a noise-degraded image into a frequency-domain representation, followed by a reduction of the image transform coefficients by a (nonlinear) coring function. After inverse transforming the cored coefficients, the noise-reduced image is obtained. We show that coring can be embedded into MPEG encoders with relatively little additional complexity. We exploit the statistical properties of the DCT coefficients to find the optimal Bayesian coring function for each of the DCT coefficients. Experimental results show the effectiveness of the MPEG-embedded coring function on compressing noisy image sequences.
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