Image Color Depth Conversion Using Dithering and FRC
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing methods using single dithering or frame rate control algorithms suffer from image color distortion and artifacts such as flickering, particularly in high-frequency detail regions, leading to poor display effects.
Innovation Solution
A method combining space-based error diffusion and time-based frame rate control algorithms to adjust pixel color values, selecting adjacent color values close to a target depth and displaying them sequentially to enhance visual inertia, thereby improving display quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a single error diffusion dithering algorithm is used to convert high-color depth image to low-color depth image, then the conversion process is simple, but color distortion occurs particularly in regions with smooth color transition and optimal results cannot be provided for images with high-frequency details
Solution Approach 1:
The patent combines multiple dithering algorithms (error diffusion, FRC, and other algorithms) to process image color depth conversion. The processor selectively applies different algorithms to different pixel regions or alternates between algorithms across frames, merging their strengths to reduce color distortion while maintaining smooth color transitions and preserving high-frequency details.
2Ease of manufacture
If a single FRC algorithm is used to convert high-color depth image to low-color depth image, then the conversion process is simple, but flickering or other time-domain artifacts occur and high color depth effect is inferior to hardware-supported high color depth in fast-changing scenes
Solution Approach 1:
The patent merges FRC algorithm with error diffusion dithering and other algorithms. The FRC algorithm is applied in combination with other methods to distribute quantization errors across multiple frames, reducing flickering artifacts while maintaining temporal stability in fast-changing scenes through coordinated algorithmic processing.
Solution Approach 2:
The FRC algorithm inherently uses periodic action by distributing color quantization errors across multiple frames in a periodic manner. The patent enhances this by coordinating the periodic frame-based error distribution with spatial error diffusion, creating a combined temporal-spatial processing approach that reduces artifacts while maintaining stability.
3Quantity of substance
If color depth of image is adjusted using existing methods, then the color depth is reduced, but color distortion occurs leading to poor image display effect
Solution Approach 1:
The patent merges multiple dithering algorithms to process the color depth reduction. By combining error diffusion, FRC, and other algorithms, the system achieves color depth reduction while maintaining display quality through coordinated error distribution across both spatial and temporal domains, preventing color distortion.
Solution Approach 2:
The patent implements feedback mechanisms where the processor analyzes image characteristics (such as high-frequency content, color transition smoothness, and scene changes) and selectively applies or adjusts algorithm parameters based on the analyzed feedback, optimizing the balance between color depth reduction and display quality preservation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The combined approach reduces color distortion and artifacts, achieving a display effect similar to higher color depths by leveraging human visual persistence.
Implementation Method 1
By using a single FRC algorithm, flickering or other time-domain artifacts will probably be caused. Especially in fast-changing scenes, since the FRC algorithm relies on persistence of vision of human eyes
Data Source
Figure 1~2
Figure 3~4
AI summary
Disclosed in the present disclosure are a method and device for processing an image, a nonvolatile storage, and a computer apparatus. The method includes: acquiring an initial color value corresponding to each of pixel points; determining an adjacent pixel point corresponding to each of pixel points in an arrangement sequence; adjusting an initial color value corresponding to the adjacent pixel point , and obtaining a new color value corresponding to each of pixel points; selecting two adjacent color values that are close to the new color value corresponding to each of pixel points from color values corresponding to a target color depth; and sequentially reading the two adjacent color values corresponding to each of pixel points and displaying a target image. The present disclosure solves a technical problem of a poor image display effect caused by color distortion of an image when a color depth of the image is adjusted.