Colour-Preserving Contrast Enhancement Algorithm for Images

Ojo, John Adedapo; Solomon, Ifeoluwa David; Adeniran, S. A.

doi:10.1007/978-3-319-33353-3_11

Cited by 2 publications

(1 citation statement)

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“…A recent approach which also makes use of these ideas is presented by Tian and Cohen [52]. Ojo et al [37] make use of the HSV colour space to avoid the colour gamut problem when enhancing the contrast of colour images. A variational approach for contrast enhancement which tries to approximate the hue of the input image was recently published by Pierre et al [41].…”

Section: Related Work From An Application Perspectivementioning

confidence: 99%

Stable Backward Diffusion Models that Minimise Convex Energies

et al. 2020

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The inverse problem of backward diffusion is known to be ill-posed and highly unstable. Backward diffusion processes appear naturally in image enhancement and deblurring applications. It is therefore greatly desirable to establish a backward diffusion model which implements a smart stabilisation approach that can be used in combination with an easy-to-handle numerical scheme. So far, existing stabilisation strategies in the literature require sophisticated numerics to solve the underlying initial value problem. We derive a class of space-discrete one-dimensional backward diffusion as gradient descent of energies where we gain stability by imposing range constraints. Interestingly, these energies are even convex. Furthermore, we establish a comprehensive theory for the time-continuous evolution and we show that stability carries over to a simple explicit time discretisation of our model. Finally, we confirm the stability and usefulness of our technique in experiments in which we enhance the contrast of digital greyscale and colour images.

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Section: Related Work From An Application Perspectivementioning

confidence: 99%