Image Encoding With LPF LM Chroma Prediction
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Solution Overview
Problem
Existing image encoding and decoding technologies face inefficiencies in predicting pixel values between color planes of RGB images due to low correlations at high frequency areas, which interfere with chroma pixel prediction and deteriorate compression efficiency.
Innovation Solution
Implement a low pass filter (LPF) LM chroma mode to remove high frequency ingredients from luma areas during intra prediction, applying an extended chroma mode that utilizes correlations between color planes to generate prediction blocks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If extended chroma mode (ECM) is applied to predict chroma pixel values using luma pixel values in RGB 4:4:4 format, then compression efficiency is improved due to high correlations between color planes, but high frequency ingredients from luma area interfere with chroma pixel prediction and deteriorate compression efficiency
Solution Approach 1:
The patent segments the frequency spectrum by applying low pass filtering to separate high frequency ingredients from the luma pixel values. This segmentation allows the prediction algorithm to use only the low frequency components that have high correlation with chroma planes, while excluding the high frequency components that cause interference and prediction errors.
Solution Approach 2:
The patent introduces low pass filtering as an intermediary process between luma pixel values and chroma pixel prediction. This intermediary filtering operation removes harmful high frequency components before the prediction calculation, thereby improving the accuracy of chroma prediction while maintaining the benefits of ECM.
2Measurement precision
If low pass filtering is applied to remove high frequency ingredients from luma area, then prediction accuracy between color planes is improved, but additional processing steps increase computational complexity
Solution Approach 1:
The patent changes the frequency domain parameters of the luma signal by applying low pass filtering. This parameter change in the frequency domain (removing high frequency components) translates to improved prediction accuracy in the spatial domain, while the filtering operation is designed to be computationally efficient.
Data Source
AI summary
Disclosed are methods, apparatuses, and systems for encoding and decoding an image. The present invention provides an intra prediction unit receives an input image, removes high frequency ingredients by low pass filtering an encoded luma pixel value in the input image during intra prediction, and generates a prediction block by predicting a chroma pixel value by using a low pass filter (LPF) LM chroma mode for applying an LM chroma mode, which is an extended chroma mode technique for generating a prediction block by predicting the chroma pixel value by applying a correlation between color planes to the luma pixel value having removed therefrom the high frequency ingredients.