Region-Based Image Encoding with Adaptive Filtering by Frame Area
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image processing methods apply filtering to entire image frames without considering regional characteristics, leading to reduced image quality and inefficient resource usage, as well as unsatisfactory compression results.
Innovation Solution
An encoding apparatus and method that select an optimum region division mode for an image frame, transmit this mode to a decoding apparatus, and apply independent filtering to each region using an optimum filtering method and coefficient, based on cost functions, to improve image processing results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If filtering is applied to the entire image frame without considering regional characteristics, then the processing is simple and fast, but the image quality is reduced and resources are used inefficiently
Solution Approach 1:
The image frame is divided into multiple regions with different characteristics (e.g., smooth regions, edge regions, texture regions). Each region is processed independently with filtering operations tailored to its specific characteristics, thereby improving image quality while avoiding the inefficiency of uniform filtering across the entire frame.
Solution Approach 2:
Different filtering methods and parameters are applied to different regions of the image frame based on their local characteristics. For example, smoothing filters are applied to smooth regions while edge-preserving filters are applied to edge regions, ensuring optimal processing quality for each local area rather than using a single global filtering approach.
2Productivity
If filtering is applied to the entire image frame, then processing is uniform and simple, but excessive resources are used
Solution Approach 1:
The image frame is segmented into multiple regions, and filtering operations are selectively applied only to regions that require processing based on their characteristics. This avoids wasting computational resources on regions that do not benefit from filtering, thereby improving processing efficiency while reducing resource consumption.
Solution Approach 2:
Instead of applying filtering to the entire image frame (excessive action), the method applies filtering only to specific regions where it is needed (partial action). This selective approach reduces unnecessary resource usage while maintaining or improving overall processing efficiency by focusing computational effort where it provides the most benefit.
3Manufacturing precision
If filtering is applied to the entire image frame, then processing is straightforward, but compression effectiveness is unsatisfactory
Solution Approach 1:
The method applies different filtering operations to different regions of the image frame based on their local characteristics. Smooth regions receive smoothing filters that enhance compression, while edge and texture regions receive edge-preserving filters that maintain visual quality. This localized approach improves compression effectiveness by adapting the filtering strategy to the specific characteristics of each region, achieving better compression ratios without sacrificing important image details.
Data Source
AI summary
Region-based encoding apparatus and decoding apparatus. The encoding apparatus selects an optimum region division mode from region division modes with respect to regions divided from an image frame, and transmits, to the decoding apparatus, an optimum image filtering method and an optimum filter coefficient of regions divided, according to the optimum region division mode.