Image Processing With Reference-Image LUT Generation
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Solution Overview
Problem
The process of producing a Lookup Table (LUT) using professional tools like Photoshop is complex, requiring technical expertise and is difficult for common users, limiting the ability to adjust image colors uniformly across multiple images or videos.
Innovation Solution
An image processing method that allows users to select a target lookup table from an interface, automatically generating a lookup table based on a first and second image, enabling color adjustment without manual production, and supporting both global and local lookup tables for varied color effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If professional tools like Photoshop are used to manually produce LUT, then color adjustment precision and control are improved, but device complexity and difficulty of operation increase significantly
Solution Approach 1:
The patent uses reference images with desired color styles as templates. The system automatically copies and transfers the color characteristics from these reference images to generate LUT, eliminating the need for manual LUT production while preserving professional color adjustment results. Users simply select reference images instead of manually adjusting parameters in Photoshop.
Solution Approach 2:
The system performs automatic LUT generation through self-service mechanisms. The processing unit automatically analyzes reference images, extracts color information, and generates LUT files without requiring user intervention in the complex adjustment process. This makes professional color grading accessible to common users who lack technical expertise.
2Manufacturing precision
If manual LUT production process is used, then color adjustment quality is improved, but loss of time and processing efficiency worsen
Solution Approach 1:
The system performs preliminary action by pre-processing reference images to extract color characteristics and pre-generating LUT files. This preparation work is done automatically in advance, so when users need color adjustment, they can directly apply pre-generated LUT to multiple images without repeating the time-consuming manual adjustment process for each image.
Solution Approach 2:
Once LUT is generated from reference images, it can be copied and applied to multiple target images uniformly. This copying mechanism allows the same professional color adjustment quality to be replicated across numerous images instantly, dramatically reducing the time loss compared to manual adjustment of each image individually.
3Reliability
If professional tools and manual LUT production are required, then color adjustment effectiveness is improved, but device complexity increases
Solution Approach 1:
The patent merges the reference image selection interface, automatic LUT generation process, and color adjustment application into a single integrated system. The processing unit combines multiple functions (image analysis, LUT calculation, and color transformation) into one automated workflow, reducing system complexity while maintaining professional color adjustment effectiveness.
Solution Approach 2:
The system introduces LUT as an intermediary that bridges the gap between simple reference image selection and professional color adjustment results. The LUT acts as a mediator that encapsulates complex color transformation rules, allowing users to achieve professional effects through simple operations without directly interacting with complex adjustment parameters.
Data Source
AI summary
An image processing method and an electronic device are disclosed, and relate to the field of image processing technologies. The image processing method includes: displaying a first interface, and determining, on the first interface, a first file selected by a user; displaying a second interface, and displaying a generated lookup table on the second interface; determining, on the second interface, a target lookup table selected by the user from the lookup table, and performing color adjustment on the first file by using the target lookup table; and displaying a color-adjusted first file. In the image processing method, an image can be processed according to a user requirement, and difficulty of image processing is reduced.