Image Encoding Memory Merging for Size and Power Reduction
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Solution Overview
Problem
Existing image combining and encoding systems face challenges in achieving compact size and low power consumption, particularly when handling high-resolution video, due to the need for high-capacity memory and additional memory areas for storing composite images, leading to increased size and power consumption, as well as noticeable delays in encoding processes.
Innovation Solution
The method involves combining current and previous images at a predetermined composition ratio on a per-block basis, using the reconstructed image from encoding as the previous image, and controlling the update period of the reference image based on motion detection, thereby eliminating the need for additional memory and reducing access times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If additional memory is provided to temporarily store composite images, then image combining and encoding can be performed, but device size increases
Solution Approach 1:
The patent merges the composite image memory function with the reference image memory by using the same memory resource for both purposes. The reference image memory stores both composite images for trajectory display and reference images for encoding, eliminating the need for separate memory areas and reducing overall device size.
Solution Approach 2:
The reference image memory is designed to serve multiple functions: storing composite images for trajectory visualization, storing reference images for encoding processes, and providing image data for both display and encoding operations. This multi-functionality eliminates the need for dedicated composite image memory.
2Measurement precision
If high-capacity memory is used to handle high-resolution video, then image quality is improved, but power consumption increases
Solution Approach 1:
By combining the memory resources for composite images and reference images into a single reference image memory, the patent reduces the total memory capacity needed while maintaining high-resolution image quality. This reduction in memory size directly lowers power consumption.
3Productivity
If dedicated memory for composite images is provided, then image combining efficiency is improved, but encoding delay increases
Solution Approach 1:
The patent enables continuous operation by allowing the reference image memory to simultaneously provide composite images for trajectory display and reference images for encoding without requiring sequential access or additional memory retrieval steps. This continuous access pattern eliminates encoding delays.
Solution Approach 2:
By merging the memory functions, the system eliminates the need to transfer data between separate composite image memory and reference image memory, allowing both image combining and encoding to access image data simultaneously and continuously, thereby reducing encoding delay.
Data Source
AI summary
An image combining and encoding method includes steps of combining a current image and a previous image at a predetermined composition ratio on a per block basis, and generating a composite image, and sequentially encoding moving pictures of the composite image generated in the combining step. A reference image generated in the encoding step is used as the previous image in the combining step.