What is the novel method for noise reduction in image preprocessing?
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A novel method for noise reduction in image preprocessing has been proposed. This method involves several key contributions. First, a deep image prior-based module is used to produce a noise-reduced image and a contrast-enhanced denoised image from a noisy input image . Second, an image fusion (IF) module based on Laplacian pyramid decomposition is applied to combine the produced images and prevent noise amplification and color shift . Finally, a progressive refinement (PR) module is introduced, which utilizes spatially correlated information for edge and image quality enhancement . The proposed method has been evaluated and shown to be efficient, superior, and robust .
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| Papers (5) | Insight |
|---|---|
| The novel method for noise reduction in image preprocessing is based on selecting data blocks with noise reduction points, determining noise reduction parameters, calculating noise reduction weights, and performing noise reduction on all pixel units in the image. | |
| The paper describes a novel image processing method that effectively reduces noise points by using a multi-value morphological filter, amplification processing, sharpening processing, reducing stray colors, zooming processing, hierarchical processing, and noise reduction processing based on wavelet transformation. | |
| The novel method for noise reduction in image preprocessing is the Saak-Transform based approach, which uses the Subspace Approximation with Augmented Kernels (Saak) transform for extracting local characteristics of an image. | |
6 Citations | The novel method for noise reduction in image preprocessing is a deep image prior-based module combined with an image fusion module and a progressive refinement module. |
| The novel method for noise reduction in image preprocessing is applying a discrete cosine transform (DCT) to blocks of pixels, quantizing the resulting DCT coefficients, and performing an inverse DCT to the quantized coefficients. |
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