Dynamic Control Block Arrangement for Image Filter Optimization
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Solution Overview
Problem
Existing image processing methods, such as those using MPEG-2 and H.264/AVC, face inefficiencies in filter process control due to uniform filter coefficients and control block arrangements, leading to reduced encoding efficiency and picture quality deterioration in regions with varying image characteristics.
Innovation Solution
An image processing apparatus that dynamically adjusts the arrangement and size of control blocks and filter coefficients based on image characteristics, using a cost function to optimize filter process performance, and encodes these adjustments for improved encoding and decoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If uniform filter coefficients are used across the entire image, then the filter process is simple to implement, but picture quality deteriorates in regions with varying image characteristics
Solution Approach 1:
The patent applies local quality by dividing the image into multiple control blocks and assigning different filter coefficients to each block based on local image characteristics. This allows the filter process to adapt to varying regions (e.g., smooth areas vs. edge areas) while maintaining implementation simplicity through systematic block-based processing.
2Device complexity
If control blocks are arranged uniformly across the image, then the control structure is simple, but encoding efficiency is reduced in regions with varying image characteristics
Solution Approach 1:
The patent implements dynamic control block arrangement where blocks are positioned and sized according to local image characteristics rather than uniform grid placement. This dynamic adaptation improves encoding efficiency by aligning control blocks with actual image features while maintaining manageable complexity through rule-based positioning.
3Manufacturing precision
If filter coefficients are optimized for each local region, then picture quality improves, but the amount of control information and processing complexity increases
Solution Approach 1:
The patent segments the image into control blocks and determines filter coefficients for each block based on local characteristics. This segmentation approach improves picture quality by enabling localized optimization while managing complexity through systematic processing of divided regions rather than treating the entire image as a single unit.
4Productivity
If control blocks are moved to align with image boundaries, then encoding efficiency improves, but the control block arrangement becomes more complex
Solution Approach 1:
The patent applies preliminary action by pre-determining optimal control block positions and sizes based on image characteristics before the actual filtering process. This advance preparation improves encoding efficiency by ensuring proper alignment with image features while managing complexity through systematic pre-processing rather than complex real-time adjustments.
Data Source
AI summary
Provided is an image processing apparatus which includes a setting unit assigning a control block, which is a control unit of a filter process that is locally performed with respect to an image, to an initial position of the image determined based on a predetermined reference point; a movement unit moving the control block, which has been assigned to the initial position of the image by the setting unit, up to a position in which the result of the filter process is improved; and a filter processing unit performing the filter process for the respective control blocks which has been moved by the movement unit.