High ISO Image Generation via Frequency Component Separation
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Solution Overview
Problem
Increasing ISO sensitivity in digital cameras amplifies noise in images, degrading quality, as existing methods to remove noise are inadequate and affect image quality.
Innovation Solution
An apparatus and method that divide an image into low and high frequency components, apply bilateral filters, adjust brightness and gain control values based on ISO sensitivity, and perform wavelet coefficient shrinkage to synthesize high sensitivity images while minimizing noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If ISO sensitivity is increased by amplifying output current of image sensor, then sensitivity is improved, but noise is amplified
Solution Approach 1:
The image is divided into multiple blocks, and each block is processed independently to estimate and remove dark current noise. This segmentation allows noise removal to be applied selectively to different regions without affecting the entire image uniformly, thereby reducing noise amplification while maintaining sensitivity enhancement.
Solution Approach 2:
The dark current noise component is extracted and removed from the amplified image signal. By separating the noise component from the useful signal and applying针对性的 removal, the patent reduces noise while preserving the amplified sensitivity information.
2Measurement precision
If image sensors are made more compact with higher sensitivity, then sensitivity is improved, but noise level increases
Solution Approach 1:
Dark current noise estimation and removal is performed as a preliminary step before final image processing. By addressing noise removal in advance, the patent prevents noise from degrading the image quality that results from using compact, high-sensitivity sensors.
3Object-generated harmful factors
If noise removing methods are applied to remove noise from high ISO images, then noise is reduced, but image quality degrades
Solution Approach 1:
Different processing strategies are applied to different blocks of the image based on local characteristics. The noise removal strength and method are adapted to each block's specific noise level and image content, preserving important image details while removing noise effectively.
Solution Approach 2:
The patent adjusts processing parameters such as filter strength and block size based on local image characteristics and noise levels. By dynamically changing parameters rather than applying fixed processing, the patent maintains image quality while removing noise.
Data Source
AI summary
An apparatus and method for generating a high ISO image are provided. To this end, an image may be divided into a first image having a low frequency component and a second image having a high frequency component. A brightness of the first image may be changed, and details of the second image may be restored. The first image having the changed brightness and the second image having the restored details may be synthesized.