Image Encoder Prediction Mode Selection for Power and Quality
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Solution Overview
Problem
Conventional image encoders experience increased power consumption and processing time with higher image quality, and existing solutions like International Patent Publication No. WO 2005/076629 degrade image quality by not adequately reflecting image characteristics in reference mode selection.
Innovation Solution
An image encoder that includes a compression processor and controller capable of selecting prediction modes based on spatial frequencies and image mobility, allowing for proper determination of prediction modes such as forward, backward, or bidirectional prediction to optimize encoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image encoders increase image size for higher image quality, then image quality is improved, but power consumption and processing time increase
Solution Approach 1:
The patent implements dynamic prediction mode selection that adapts to scene characteristics. The compression controller dynamically determines whether to perform prediction mode selection based on scene determination, and dynamically selects among forward prediction, backward prediction, or bidirectional prediction based on spatial frequencies. This dynamic adaptation allows the encoder to optimize power consumption and processing time for each scene while maintaining high image quality.
2Measurement precision
If conventional image encoders increase image size for higher image quality, then image quality is improved, but processing time increases
Solution Approach 1:
The patent implements dynamic prediction mode selection that adapts to scene characteristics. The compression controller dynamically determines whether to perform prediction mode selection based on scene determination, and dynamically selects among forward prediction, backward prediction, or bidirectional prediction based on spatial frequencies. This dynamic adaptation allows the encoder to optimize processing time for each scene while maintaining high image quality.
3Productivity
If reference mode is selected based on encoding environment settings, then encoding efficiency is improved, but image quality deteriorates because image characteristics are not reflected
Solution Approach 1:
The patent changes the selection parameters from generic encoding environment settings to image-specific characteristics. The compression controller selects prediction modes based on spatial frequencies of the image and image mobility information, thereby adapting the encoding parameters to the actual image characteristics. This ensures both high encoding efficiency and high image quality.
Solution Approach 2:
The patent implements feedback mechanisms where the compression controller continuously analyzes spatial frequencies and image mobility information to dynamically adjust prediction mode selection. This feedback loop ensures that the encoding process adapts to actual image characteristics, maintaining both efficiency and quality.
Data Source
AI summary
A compression controller is capable of executing prediction mode selection for selecting any one of forward prediction, backward prediction, or bidirectional prediction as a prediction mode used for encoding based on spatial frequencies of an image to be encoded. The compression controller determines whether or not to execute the prediction mode selection based on image mobility information indicating an amount of motion in the image to be encoded.