Image Processing Device Selective Noise Reduction for Texture Preservation
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Solution Overview
Problem
Conventional image processing devices blur high-priority image regions during noise reduction processing, especially in low-light outdoor scenes, leading to degraded image quality.
Innovation Solution
An image processing device that measures luminance variation in multiple regions of a captured image, determines the target regions for noise reduction based on texture amounts, and selectively applies noise reduction processing to avoid blurring critical areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If noise reduction processing is performed on dark captured images, then noise is reduced, but image regions with high monitoring priority become blurred
Solution Approach 1:
The captured image is divided into multiple image regions, and each region is evaluated independently for noise reduction processing. This allows selective application of noise reduction to only those regions that meet the criteria, preventing blurring of important regions while still reducing noise in appropriate areas.
Solution Approach 2:
Different processing strategies are applied to different regions of the image based on their local characteristics. Regions with low luminance and low texture amount undergo noise reduction, while regions with high texture amount (containing important details) are preserved without processing.
2Ease of operation
If noise reduction processing is applied based on luminance alone, then dark regions are processed, but regions with important details are incorrectly blurred
Solution Approach 1:
The texture amount is calculated and stored for each image region in advance, before the actual noise reduction processing. This preliminary evaluation of region characteristics allows for more accurate decision-making during the processing stage, improving the precision of region selection.
Solution Approach 2:
The system uses feedback from texture amount calculation to guide the noise reduction processing decisions. By continuously evaluating the texture amount of each region and using this information to determine whether to apply noise reduction, the system achieves more precise control over which regions are processed.
Data Source
AI summary
An image processing device includes a processor; and a memory to store the program which performs processing including: measuring a first texture amount indicating luminance variation in image regions, based on the image regions obtained by dividing the captured image and previously determining an image processing target region based on the first texture amount; judging whether the image processing on a current captured image is necessary based on luminance of the image processing target region in the current captured image; calculating a second texture amount indicating luminance variation in the image processing target region, and judging whether the image processing should be performed on the image processing target region or not based on the second texture amount; and performing the image processing on the image processing target region on which the judging based on the second texture amount is that the image processing should be performed.