Image enhancement with wavelet-optimized whitening
Fr\'ed\'eric Auch\`ere, Elie Soubri\'e, Gabriel Pelouze, \'Eric, Buchlin

TL;DR
This paper introduces a wavelet-based image enhancement method for solar corona images that automatically produces sharp, contrasted results without manual parameter tuning, effectively suppressing noise and halos.
Contribution
It proposes a novel wavelet whitening technique with bilateral modification that enhances solar images objectively and efficiently, outperforming existing methods in speed and quality.
Findings
Produces sharp, contrasted images without manual parameter adjustment
Prevents high-frequency noise amplification through built-in denoising
Outperforms multiscale Gaussian normalization in speed and quality
Abstract
Due to its physical nature, the solar corona exhibits large spatial variations of intensity that make it difficult to simultaneously visualize the features present at all levels and scales. Many general-purpose and specialized filters have been proposed to enhance coronal images. However, most of them require the ad hoc tweaking of parameters to produce subjectively good results. Our aim was to develop a general purpose image enhancement technique that would produce equally good results, but based on an objective criterion. The underlying principle of the method is the equalization, or whitening, of power in the {\it \`a trous} wavelet spectrum of the input image at all scales and locations. An edge-avoiding modification of the {\it \`a trous} transform that uses bilateral weighting by the local variance in the wavelet planes is used to suppress the undesirable halos otherwise produced…
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Taxonomy
TopicsImage Enhancement Techniques · Advanced Image Processing Techniques · Image and Signal Denoising Methods
