Image Processing Device Detecting Distortable Patterns
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Solution Overview
Problem
Existing image processing technologies face challenges in preventing image distortion during local tone mapping, particularly in detecting and correcting distortable patterns, which can lead to loss of boundary information and contrast preservation issues.
Innovation Solution
An image processing device comprising a block luminance acquirer, pattern detector, and luminance corrector that divides input images into blocks, analyzes luminance correlations, and determines correction modes based on detected distortable patterns to prevent image distortion by either bypassing or correcting luminance using appropriate gain values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If local tone mapping is applied to preserve local contrast and boundary information, then image quality is improved, but image distortion occurs in images with certain patterns
Solution Approach 1:
The patent applies preliminary action by detecting distortable patterns before performing local tone mapping. The pattern detector identifies regions with uniform luminance characteristics that are prone to distortion, and this detection result is used to control whether local tone mapping is applied to each block, thereby preventing distortion before it occurs.
Solution Approach 2:
The patent applies local quality by treating different blocks of the image differently based on their pattern characteristics. Blocks detected as having distortable patterns are processed with global tone mapping or bypassed, while blocks without such patterns receive local tone mapping. This selective processing approach preserves local contrast in suitable regions while avoiding distortion in problematic regions.
2Productivity
If global tone mapping is used to preserve global contrast and ensure fast processing, then processing speed is improved, but local contrast is lost and boundary information is degraded
Solution Approach 1:
The patent applies segmentation by dividing the image into multiple blocks and applying different tone mapping strategies to each block based on pattern detection results. This allows the system to use fast global tone mapping for blocks with distortable patterns while applying more computationally intensive local tone mapping only to blocks that can benefit from it, thereby balancing processing speed and local contrast preservation.
3Manufacturing precision
If luminance correction is performed for each block to preserve local contrast, then local contrast is improved, but image distortion occurs in blocks with certain patterns
Solution Approach 1:
The patent applies feedback by using the pattern detection results to control the luminance correction process. The pattern detector provides feedback about which blocks contain distortable patterns, and this information is used by the luminance corrector to decide whether to apply local tone mapping to each block, thereby preventing distortion while preserving local contrast where appropriate.
Data Source
AI summary
According to an embodiment of the disclosure, an image processing device, which is capable of detecting a distortable pattern that is likely to be distorted, includes a block luminance acquirer configured to divide a plurality of pixels constituting an input image into a plurality of blocks and acquire luminance for each of the plurality of blocks, a pattern detector configured to analyze a luminance correlation between the plurality of blocks and detect a distortable pattern, and a luminance corrector configured to correct the luminance of the plurality of pixels or bypass the plurality of pixels according to whether the distortable pattern is detected.