Real-Time Image Quality Evaluation for Mobile Terminals
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Solution Overview
Problem
The quality of images captured by mobile terminals is unstable due to various factors such as exposure, sharpness, color information, noise, and composition, resulting in many lower quality images.
Innovation Solution
An image processing method and apparatus that acquires image parameters of a real-time preview image, evaluates them using a pre-established image evaluation model, and displays an evaluation result to remind users to adjust capturing parameters, such as exposure, focus, or position, to improve image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time image evaluation is implemented, then image quality feedback is improved, but system complexity increases
Solution Approach 1:
The patent pre-establishes an image evaluation model before actual image capture. This model includes pre-defined evaluation dimensions (exposure, sharpness, color, noise, composition) and criteria. By preparing the evaluation framework in advance, the system avoids complex real-time calculations during image capture, thus improving measurement precision while controlling system complexity.
Solution Approach 2:
The patent divides image quality evaluation into multiple independent dimensions: exposure evaluation, sharpness evaluation, color information evaluation, noise evaluation, and composition evaluation. Each dimension is assessed separately using specific metrics and algorithms. This segmentation allows the complex evaluation task to be broken down into manageable components, improving overall evaluation accuracy while keeping each component's complexity可控.
2Measurement precision
If multiple image parameters are evaluated simultaneously, then comprehensive quality assessment is improved, but processing time increases
Solution Approach 1:
The patent implements periodic evaluation of different image parameters rather than simultaneous evaluation. The system cycles through various evaluation dimensions (exposure, sharpness, color, noise, composition) in sequence, assigning weights to each dimension. This periodic approach provides comprehensive quality assessment while controlling processing time by avoiding parallel computation of all parameters simultaneously.
3Manufacturing precision
If user guidance for parameter adjustment is provided, then image quality improvement is improved, but ease of operation decreases
Solution Approach 1:
The patent implements a feedback mechanism where the system evaluates the captured image, compares it against the pre-established evaluation model, and provides specific guidance to the user on which parameters need adjustment (e.g., exposure, focus, composition). This feedback loop guides users to make targeted adjustments, improving image quality while maintaining ease of operation by providing clear, actionable recommendations rather than requiring users to understand complex photographic theory.
Data Source
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AI summary
The embodiment of the disclosure discloses a method and an apparatus for image processing, and a mobile terminal. The method may include: acquiring image parameters of a real-time preview image displayed in a preview interface; evaluating, based on the image parameters and a pre-established image evaluation model, the real-time preview image to obtain an evaluation result; and displaying the evaluation result. The method enables the user of the mobile terminal to obtain the evaluation result of the real-time preview image displayed in the preview interface in real time, so that the user can get the quality of the current real-time preview image in real time, and the user can adjust the real-time preview image as needed, in order to obtain images with better evaluation results, thereby improving the overall quality of the images captured by the mobile terminal.