Image Brightness Adjustment via Histogram Classification for Power Saving
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Solution Overview
Problem
Portable terminals, such as mobile phones and PMPs, face high power consumption due to display driving units, which limits battery life, and existing methods to reduce power consumption, like lowering backlight brightness, do not maintain image brightness in power save mode.
Innovation Solution
An image processing method that classifies input images based on brightness histograms and applies corresponding brightness weighting functions to adjust pixel brightness, maintaining image brightness in low power consumption modes by using a tone mapping function and variable gains to control brightness distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the brightness of the light source (backlight) is reduced during power save mode, then power consumption is reduced, but image brightness deteriorates
Solution Approach 1:
The patent applies different brightness weighting functions to different regions of the image based on their position and local characteristics. By analyzing the brightness histogram and classifying image regions, the system adjusts brightness locally rather than uniformly, allowing power reduction while maintaining perceived image quality in critical areas.
Solution Approach 2:
The patent changes the brightness parameter dynamically based on power mode and image characteristics. It uses brightness weighting functions with different gains (e.g., first gain for power save mode, second gain for normal mode) and adjusts these parameters according to the classified image categories, enabling adaptive brightness control that resolves the contradiction between power consumption and image brightness.
2Use of energy by moving object
If uniform brightness adjustment is applied to all pixels, then power consumption is reduced, but image distortion occurs
Solution Approach 1:
The patent divides the image into different regions and applies position-dependent brightness weighting functions. Each pixel's brightness adjustment is determined by its specific position and the local image characteristics, preventing uniform adjustment that would cause distortion while still achieving overall power reduction.
Solution Approach 2:
The patent segments the image processing into multiple stages: brightness histogram analysis, image classification into predetermined categories, position-based weighting function selection, and differential brightness adjustment. This segmentation allows sophisticated local control that maintains image quality while reducing power consumption.
Data Source
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AI summary
An image processing method, medium, and system. The image processing method includes classifying an input image into predetermined image categories based on a feature of a brightness histogram of the input image, and adjusting a brightness of the input image based on grayscale functions corresponding to the image categories and positions of pixels making up the input image.