Backlight Dimming Gamma Curve Image Data Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing display technologies, such as CABC, complicate the process of compensating for pixel grayscale due to nonlinear brightness characteristics, increasing calculation power and user inconvenience.
Innovation Solution
An image data processing device that calculates a representative brightness value for multiple pixels, adjusts the backlight dimming value, and generates converted image data using a gamma curve, simplifying the conversion process and reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If CABC technology is applied to reduce backlight brightness, then power consumption is reduced, but the process of compensating for pixel grayscale becomes complicated due to nonlinear brightness characteristics
Solution Approach 1:
The patent applies parameter changes by modifying the brightness characteristics of pixels through gamma correction. Instead of directly compensating for nonlinear brightness characteristics in the original image data, the system changes the parameter space by applying gamma values to linearize the brightness response, thereby simplifying the grayscale compensation process while maintaining power savings from reduced backlight brightness
Solution Approach 2:
The patent introduces an intermediary approach by using gamma-corrected image data as a intermediate representation. The system applies gamma correction to the original image data before grayscale compensation, creating an intermediate processed data form that makes subsequent compensation operations simpler and more straightforward while achieving the desired brightness compensation effect
2Manufacturing precision
If grayscale of each pixel is increased to compensate for decreased backlight brightness, then image quality is maintained, but calculation complexity increases
Solution Approach 1:
The patent applies preliminary action by performing gamma correction on the image data before the grayscale compensation step. This preliminary processing of the image data transforms it into a form where subsequent grayscale adjustments can be made more efficiently, reducing the computational burden while ensuring accurate image quality maintenance during backlight dimming operations
Data Source
AI summary
According to an embodiment, the representative brightness value of image data is determined through an analysis of the image data, the dimming value of a backlight is adjusted according to the representative brightness value, and the image data is converted so as to correspond to the adjusted dimming value such that pixels maintain original brightness. In order to simplify the image data conversion, a characteristic value may be generated according to the adjusted dimming value, and a gamma curve may be generated on the basis of the characteristic value, thereby converting the image data.