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Chroma Intra Prediction Based on Inter-Channel
Correlation for HEVC
Abstract—In this paper, we investigate a new inter-channel coding mode called LM mode
proposed for the next generation video coding standard called high efficiency video coding. This
mode exploits inter-channel correlation using reconstructed luma to predict chroma linearly with
parameters derived from neighboring reconstructed luma and chroma pixels at both encoder and
decoder to avoid overhead signaling. In this paper, we analyze the LM mode and prove that the
LM parameters for predicting original chroma and reconstructed chroma are statistically the
same. We also analyze the error sensitivity of the LM parameters. We identify some LM mode
problematic situations and propose three novel LM- like modes called LMA, LML, and LMO to
address the situations. To limit the increase in complexity due to the LM- like modes, we propose
some fast algorithms with the help of some new cost functions. We further identify some
potentially-problematic conditions in the parameter est imation (including regression dilution
problem) and introduce a novel model correction technique to detect and correct those
conditions. Simulation results suggest that considerable BD-rate reduction can be achieved by
the proposed LM- like modes and model correction technique. In addition, the performance gain
of the two techniques appears to be essentially additive when combined.

3. Existing method:
Another type of problem occurs in the LM mode parameter computation, mainly due to the
quantization error in the neighoring reconstructed luma and chroma samples. The α1 and β1,
specified in (7), are defined to minimize the mean square prediction error along the inner border
of the current block, based on the reconstructed luma and chroma samples along the outer
border. In the previous section, we analyzed the effect of the quantization error in the
reconstructed chroma samples by pointing out that the same optimal LMMSE filter coefficients
will be obtained regardless of whether the original chroma or the reconstructed chroma is to be
linearly predicted. In this section we examine the effect of quantization error in the
reconstructed luma samples, and propose some remedial model correction.
Proposed method:
the cross-channel residual prediction technique to improve the chroma prediction. In [19], an
additional mode called RM mode is proposed. When the RM mode is used, the prediction of
chroma samples contains two steps. Step 1, predict the chroma samples by the mode derived
from luma intra prediction mode (i.e. same as DM mode); Step 2, predict the residual chroma
samples by reconstructed residual luma samples of the same block via a linear model. The
parameters in RM mode are derived on the encoder side, quantized and encoded in the bitstream.
In [20], the residual of Cr component is linearly predicted from the reconstructed residual of Cb
with the parameter to be a negative fixed value in order to save complexity. Instead of creating

4. any additional mode, this technique is applied to all the regular chroma modes (except LM)
directly as a second step for the Cr component only.
Merits:
1. Better PSNR values
2. Output image more enhancement.
3. Low BER rate
Demerits:
1.noise level is very high
2. restoration process time is very high.

5. Results: