Noise Processing Apparatus Multiresolution Transform Integration
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Solution Overview
Problem
Existing noise processing technologies for images using multiresolution transforms either require additional modules for noise addition as an optional function, increasing costs, or do not allow for noise addition in lower resolutions, limiting flexibility and efficiency.
Innovation Solution
A noise processing apparatus that performs noise reduction and addition using a multiresolution transform, with the noise addition process integrated into the reverse multiresolution transform unit, allowing noise addition in lower resolutions and enabling cost-effective implementation of noise addition as an optional function.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If noise addition is performed after reverse multiresolution transform at original resolution, then noise processing quality is maintained, but additional dedicated modules are required increasing device complexity and cost
Solution Approach 1:
The reverse multiresolution transform unit is designed to perform both its primary function of image reconstruction and an additional noise addition function. By integrating the noise addition capability into the existing transform unit, the system avoids adding dedicated noise addition modules, thereby reducing device complexity while maintaining noise processing quality through proper integration of noise generation and addition pathways within the transform unit.
Solution Approach 2:
The noise addition function is merged with the reverse multiresolution transform process. The noise generation unit and addition mechanism are combined within the transform unit structure, allowing the same hardware or software module to handle both image reconstruction and noise addition tasks, thus eliminating the need for separate dedicated noise addition hardware.
2Manufacturing precision
If noise addition is performed at original image resolution, then noise detail is preserved, but processing load and hardware requirements increase
Solution Approach 1:
The system applies different processing qualities to different stages of the image processing pipeline. Noise addition is performed at lower resolution during the transform process where computational load is reduced, while the final output maintains original resolution quality. This local differentiation of processing quality allows efficient resource allocation without compromising overall image quality.
3Adaptability or versatility
If noise addition function is made optional, then system flexibility is improved, but cost-performance decreases when additional modules are required
Solution Approach 1:
The reverse multiresolution transform unit is designed with multi-functionality, capable of operating with or without the noise addition function activated. This universal design allows the same hardware or software module to serve as either a simple transform unit or an enhanced transform unit with noise addition, providing system flexibility while avoiding the need for separate optional modules that would increase cost.
Solution Approach 2:
The noise addition function is implemented as a dynamic, configurable feature within the transform unit rather than a fixed hardware component. This allows the system to adaptively enable or disable noise addition based on user needs or application requirements, providing flexibility while maintaining cost-effectiveness through a single versatile implementation.
Data Source
AI summary
A noise processing apparatus and a noise processing method capable of increasing cost-performance in the case of performing a noise reducing process for each band using a multiresolution transform and adding a desired noise are provided. The noise processing apparatus includes a multiresolution transform unit (32) that generates a plurality of band images in different resolutions by performing a multiresolution transform process including image size reduction on an original image, a noise reducing unit (34) that performs a noise reducing process on the band image, and a reverse multiresolution transform unit (38) that generates an output image in the same resolution as the original image by performing a reverse multiresolution transform process including image size expansion and a noise addition process on the band image subjected to the noise reducing process, the reverse multiresolution transform unit (38) performing the noise addition process in a lower resolution than the original image.