Bit-Plane Scanning Coding for Image Data Transmission Power Reduction
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Solution Overview
Problem
The increased power consumption of display and camera interfaces in portable devices due to higher resolution data transmission shortens battery life, necessitating a method to reduce power consumption.
Innovation Solution
The implementation of bit-plane scanning coding and decoding methods that selectively encode and decode pixel data based on a bit budget and scanning order, reducing data size and rate while maintaining image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If higher resolution display data is transmitted over the display interface, then display resolution is improved, but power consumption increases
Solution Approach 1:
The patent extracts only the essential visual information from the original image data by performing edge detection and extracting edge pixels, discarding redundant information. This reduces the data transmission volume while preserving the core visual content, thereby lowering power consumption without significantly compromising display resolution
Solution Approach 2:
The patent transforms the image data from full-resolution pixel values to edge detection results, changing the data representation parameters. By transmitting edge information instead of complete pixel data, the data rate is reduced while maintaining the ability to reconstruct acceptable visual output, thus reducing power consumption
2Measurement precision
If higher resolution camera data is transmitted over the camera interface, then camera resolution is improved, but power consumption increases
Solution Approach 1:
The patent extracts only the essential visual information from the camera data by performing edge detection and extracting edge pixels, discarding redundant information. This reduces the data transmission volume while preserving the core visual content, thereby lowering power consumption without significantly compromising camera resolution
Solution Approach 2:
The patent transforms the camera image data from full-resolution pixel values to edge detection results, changing the data representation parameters. By transmitting edge information instead of complete pixel data, the data rate is reduced while maintaining the ability to reconstruct acceptable visual output, thus reducing power consumption
3Measurement precision
If complete pixel data is transmitted, then image quality is improved, but data transmission size increases
Solution Approach 1:
The patent extracts only the essential visual information from the original image data by performing edge detection and extracting edge pixels, discarding redundant information. This reduces the data transmission volume while preserving the core visual content, thereby lowering power consumption without significantly compromising display resolution
Solution Approach 2:
The patent transforms the image data from full-resolution pixel values to edge detection results, changing the data representation parameters. By transmitting edge information instead of complete pixel data, the data rate is reduced while maintaining the ability to reconstruct acceptable visual output, thus reducing power consumption
4Measurement precision
If complete pixel data is transmitted, then image quality is improved, but data transmission rate increases
Solution Approach 1:
The patent extracts only the essential visual information from the original image data by performing edge detection and extracting edge pixels, discarding redundant information. This reduces the data transmission volume while preserving the core visual content, thereby lowering power consumption without significantly compromising display resolution
Solution Approach 2:
The patent transforms the image data from full-resolution pixel values to edge detection results, changing the data representation parameters. By transmitting edge information instead of complete pixel data, the data rate is reduced while maintaining the ability to reconstruct acceptable visual output, thus reducing power consumption
Data Source
AI summary
An image encoding method includes at least following steps: receiving a plurality of target pixels within a frame, wherein pixel data of each target pixel has at least one color channel data corresponding to at least one color channel; determining a bit budget of the target pixels; and performing bit-plane scanning coding upon selected pixels according to the bit budget and a scanning order, and accordingly generating encoded pixel data of the selected pixels as encoded data of the target pixels, wherein the selected pixels are derived from the target pixels, and the bit-plane scanning coding extracts partial bits of pixel data of each selected pixel as encoded pixel data of the selected pixel. In addition, a corresponding image decoding method is provided.