Image Color Depth Conversion Using Error Diffusion and FRC
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Solution Overview
Problem
Existing image processing methods using single dithering or frame rate control algorithms suffer from image color distortion and artifacts like flickering, particularly in high-frequency detail regions and fast-changing scenes.
Innovation Solution
A method combining space-based error diffusion and time-based frame rate control algorithms to adjust pixel values, selecting adjacent color values and reading them sequentially to improve display quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
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 image color distortion occurs and optimal results cannot be provided for images with high-frequency details
Solution Approach 1:
The patent combines error diffusion dithering algorithm and FRC algorithm into a unified processing system. The error diffusion component handles spatial color distribution while the FRC component handles temporal color transition, creating a composite algorithm that leverages the strengths of both approaches to reduce color distortion and improve image quality.
Solution Approach 2:
The patent dynamically switches between error diffusion and FRC algorithms based on image content characteristics. For regions with high-frequency details, error diffusion is applied; for regions requiring smooth color transitions, FRC is applied. This dynamic adaptation allows the system to optimize processing for different image regions and content types.
2Ease of operation
If a single FRC algorithm is used for color depth conversion, then the processing is straightforward, but flickering artifacts occur and color depth effect is inferior in fast-changing scenes
Solution Approach 1:
The patent merges FRC algorithm with error diffusion dithering to create a hybrid approach. The FRC component provides temporal dithering for smooth color transitions while the error diffusion component suppresses flickering artifacts by distributing quantization errors spatially. This combination maintains processing simplicity while significantly improving display quality and reliability.
Solution Approach 2:
The patent introduces an intermediary error diffusion processing stage between high-color depth and low-color depth images. This intermediary step pre-processes the image to reduce artifacts before FRC temporal dithering is applied, thereby improving overall image quality and reducing flickering in fast-changing scenes.
3Quantity of substance
If color depth of image is adjusted using traditional algorithms, then the color depth conversion is achieved, but image color distortion occurs particularly in regions with smooth color transition
Solution Approach 1:
The patent combines spatial error diffusion dithering with temporal FRC dithering to achieve color depth conversion while preserving color accuracy. The error diffusion component handles spatial color distribution in regions with smooth transitions, while FRC handles temporal color transitions, together preventing color distortion during color depth adjustment.
Solution Approach 2:
The patent changes the processing parameters dynamically based on local image characteristics. For regions with smooth color transitions, error diffusion parameters are optimized; for regions with fast color changes, FRC parameters are adjusted. This parameter adaptation maintains color accuracy across different image regions during color depth conversion.
Data Source
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.