Dynamic Backlight Dimming for Static Image Halo Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing algorithms for reducing halo artifacts in liquid crystal displays (LCDs) are ineffective for static images, as they primarily address moving graphic images, leading to issues like color tinting at the edges of static images on white backgrounds.
Innovation Solution
A system and method that dynamically determine whether an image is static or moving, enabling a specific backlight local dimming algorithm to adjust LED zones and perform luminance correction at the pixel level to reduce halo artifacts in static images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a local dimming algorithm is applied to moving graphic images, then halo artifacts are reduced in moving images, but halo artifacts remain in static images
Solution Approach 1:
The system dynamically switches between two different dimming algorithms based on whether the detected image is static or moving. For static images, a first dimming algorithm is applied that specifically addresses halo artifacts in stationary content. For moving images, a second dimming algorithm is used that is optimized for dynamic content. This dynamic adaptation resolves the contradiction by ensuring the appropriate algorithm is applied to each image type.
Solution Approach 2:
The system changes the parameters and characteristics of the dimming algorithm based on the image type detected. When a static image is detected, the algorithm parameters are adjusted to optimize for reducing halo artifacts in stationary images. When moving images are detected, different parameters are applied. This parameter adaptation allows the system to effectively handle both static and moving images with appropriate settings for each.
2Manufacturing precision
If LED zones are individually controlled to reduce halo artifacts, then image quality improves, but system complexity increases
Solution Approach 1:
The backlight is divided into multiple independently controllable LED zones that can be individually adjusted to reduce halo artifacts. Each zone can be dimmed or brightened independently based on the local content requirements. This segmentation allows precise local control to improve image quality while the system manages the complexity through automated detection and control algorithms.
Solution Approach 2:
The system employs feedback mechanisms where the image content is analyzed to determine the appropriate dimming levels for each LED zone. The detection of static versus moving images provides feedback that triggers the selection of appropriate dimming algorithms. This feedback loop automates the control process, managing system complexity while achieving precise image quality control through individual LED zone adjustment.
Data Source
AI summary
A system, method, and computer-readable medium are disclosed for reducing halo artifacts of static images on a computer display. A multimedia stream is received that includes graphical images which are moving and static images as displayed on the computer display. A determination is performed if a graphical image in the multimedia stream is a static image. Additional LED zones of LEDs are turned on to provide backlighting to a computer display panel. A diming algorithm is enabled to adjust LEDs to reduce halo artifacts in the static image. Luminance correction is performed at the pixel level for the static image.