Adaptive Bilateral Image Denoising for Sharpness Preservation
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Solution Overview
Problem
Integrated circuits perform image denoising indiscriminately, leading to reduced image sharpness or inadequate denoising in different camera systems, and manufacturers are unaware of customer-specific features in imaging systems.
Innovation Solution
An adaptive noise reduction module is implemented in integrated circuits to adjust denoising strength based on expected noise and pixel intensity, using bilateral filters for vertical and horizontal orientations, along with spatial and intensity range lookup tables to preserve image details.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If indiscriminate image denoising is performed to reduce noise in dark regions, then noise reduction is improved, but image sharpness and detail are reduced
Solution Approach 1:
The patent applies different denoising strengths to different regions of the image based on local characteristics. Bright regions receive stronger denoising while dark regions receive weaker denoising to preserve details and sharpness in those areas.
Solution Approach 2:
The denoising strength is dynamically adjusted based on the intensity of each pixel or region. The system adapts the filtering parameters in real-time according to the local brightness characteristics, rather than applying a uniform denoising strength across the entire image.
2Manufacturing precision
If indiscriminate image denoising is performed to maintain details in bright regions, then image sharpness is improved, but noise reduction in dark regions is insufficient
Solution Approach 1:
The system applies region-specific denoising parameters where bright regions are processed with one set of parameters to preserve sharpness, while dark regions are processed with different parameters to achieve adequate noise reduction.
Solution Approach 2:
The denoising algorithm dynamically selects appropriate filtering strength based on local intensity measurements, allowing it to optimize for sharpness in bright areas while still providing noise reduction in dark areas through adaptive parameter adjustment.
3Device complexity
If fixed denoising parameters are used across different camera systems, then device complexity is reduced, but adaptability to different imaging systems is reduced
Solution Approach 1:
The denoising system automatically adapts to different camera systems by measuring the actual noise characteristics of the input image and adjusting its parameters accordingly. Rather than requiring manual configuration for each camera model, the system self-calibrates based on the statistical properties of the captured image data.
Solution Approach 2:
The patent employs adjustable denoising parameters that can be modified based on the specific characteristics of different camera systems. The system changes filtering strength, kernel size, and other parameters dynamically to optimize performance for each imaging system without requiring complete redesign.
Data Source
AI summary
Systems and methods of the present disclosure provide a system that includes an image sensor that captures pixel data and a programmable logic device including programmable logic circuitry that is configurable to be programmed with a noise reduction circuit including a first bilateral filter and a second bilateral filter. The noise reduction circuit may filter a pixel value of the pixel data based on the first bilateral filter and the second bilateral filter.