Image Decoding Device Block Distortion Removal Filter Intensity
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Solution Overview
Problem
Conventional image coding devices face challenges in improving the quality of coded images due to inappropriate filter intensity settings for color difference signal components, which affects the accuracy of block distortion removal.
Innovation Solution
The image coding device includes a block dividing unit, a coding mode determining unit, a prediction image generating unit, a difference image generating unit, an image compression unit, a local decoded image generating unit, a distortion removing unit, and a coding unit. The distortion removing unit sets the filter intensity for removing block distortion for each signal component based on the coding mode, thereby improving the accuracy of block distortion removal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single filter intensity is used for all signal components, then the device complexity is reduced, but the manufacturing precision of block distortion removal deteriorates
Solution Approach 1:
The filter intensity setting is segmented by signal component type. The patent divides the filtering process into separate intensity settings for luminance signals and color difference signals, allowing each component to be optimized independently rather than using a uniform intensity for all components.
Solution Approach 2:
Different filter intensities are applied to different signal components based on their specific characteristics. The patent sets higher filter intensity for luminance signals which are more sensitive to block distortion, while using lower intensity for color difference signals, thereby optimizing the overall distortion removal accuracy.
2Manufacturing precision
If filter intensity is increased to improve block distortion removal, then the manufacturing precision improves, but the loss of information in color difference signals increases
Solution Approach 1:
The patent applies different filter intensities to different signal components: higher intensity for luminance signals where block distortion is more perceptible, and lower intensity for color difference signals to preserve signal quality and avoid excessive information loss.
Solution Approach 2:
The filter intensity parameter is changed based on the signal component type. The patent dynamically adjusts the intensity parameter according to whether the signal is luminance or color difference, optimizing the balance between distortion removal and information preservation for each component.
Data Source
AI summary
When removing a block distortion occurring in a local decoded image, a loop filtering part 11 of an image coding device carries out a filtering process on each of signal components (a luminance signal component and color difference signal components) after setting the intensity of a filter for removing the block distortion for each of the signal components according to a coding mode (an intra coding mode or an inter coding mode) selected by a coding controlling part 1.


