scispace - formally typeset
Proceedings ArticleDOI

Perceptually motivated automatic sharpness enhancement using hierarchy of non-local means

TLDR
This work addresses the problem of sharpness enhancement of images by proposing hierarchical techniques that decompose an image into a smooth image and high frequency components based on Gaussian filter and bilateral filter, whereas techniques based on weighted least squares extract low contrast features as detail.
Abstract
We address the problem of sharpness enhancement of images. Existing hierarchical techniques that decompose an image into a smooth image and high frequency components based on Gaussian filter and bilateral filter suffer from halo effects, whereas techniques based on weighted least squares extract low contrast features as detail. Other techniques require multiple images and are not tolerant to noise.

read more

Citations
More filters
Journal ArticleDOI

Fast Multilayer Laplacian Enhancement

TL;DR: The approach builds on Laplacian operators of well-known edge-aware kernels, such as bilateral and nonlocal means, and extends these filter's capabilities to perform more effective and fast image smoothing, sharpening, and tone manipulation.
Journal ArticleDOI

Nonlocal image editing.

TL;DR: This analysis shows that the mapping of the eigenvalues by an appropriate polynomial function endows the filter with a number of important capabilities, such as edge-aware sharpening, denoising, tone manipulation, and abstraction, to name a few.
Journal ArticleDOI

Measuring myofiber orientations from high-frequency ultrasound images using multiscale decompositions

TL;DR: A two-step multiscale image decomposition method that combines a nonlinear anisotropic diffusion filter and a coherence enhancing diffusion filter to extract myofibers from high-frequency ultrasound images and demonstrated the feasibility of extracting cardiac myofiber orientations from HFU images ex vivo.
Journal ArticleDOI

Unconditionally stable shock filters for image and geometry processing

TL;DR: This work revisits the Shock Filters of Osher and Rudin and shows how the proposed filtering process can be interpreted as the advection of image values along flow‐lines, leading to an efficient implementation that only requires tracing flow‐ lines and re‐sampling the image.
Journal ArticleDOI

Non-Linear Structure-Aware Image Sharpening with Difference of Smoothing Operators

TL;DR: The connection of the proposed data-adaptive filtering procedure with the classic Difference of Gaussians operator is established and the proposed filter renders a data- Adaptive and noise robust version of the classical DoG filter.
References
More filters
Book ChapterDOI

Individual Comparisons by Ranking Methods

TL;DR: The comparison of two treatments generally falls into one of the following two categories: (a) a number of replications for each of the two treatments, which are unpaired, or (b) we may have a series of paired comparisons, some of which may be positive and some negative as mentioned in this paper.
Journal ArticleDOI

Mean shift: a robust approach toward feature space analysis

TL;DR: It is proved the convergence of a recursive mean shift procedure to the nearest stationary point of the underlying density function and, thus, its utility in detecting the modes of the density.
Proceedings ArticleDOI

Bilateral filtering for gray and color images

TL;DR: In contrast with filters that operate on the three bands of a color image separately, a bilateral filter can enforce the perceptual metric underlying the CIE-Lab color space, and smooth colors and preserve edges in a way that is tuned to human perception.
Journal ArticleDOI

The Laplacian Pyramid as a Compact Image Code

TL;DR: A technique for image encoding in which local operators of many scales but identical shape serve as the basis functions, which tends to enhance salient image features and is well suited for many image analysis tasks as well as for image compression.
Journal ArticleDOI

Fast bilateral filtering for the display of high-dynamic-range images

TL;DR: A new technique for the display of high-dynamic-range images, which reduces the contrast while preserving detail, is presented, based on a two-scale decomposition of the image into a base layer.
Related Papers (5)