This article introduces a new image sharpening approach suitable for single-sensor digital cameras equipped with a Bayer color filter array (CFA). The proposed solution firstly enhances the structural content of the captured CFA image data. Subsequent demosaicking of the enhanced CFA image data produces a visually pleasing full-color image which is noticeably sharper compared to the output of t...

We have discussed that the co-occurrence frequency image (CFI) defined based on the co-occurrence frequency histogram of the gray value of an image has a potential to introduce a new scheme for image feature extraction. This paper proposes a couple of filters for image enhancements of such as sharpening and smoothing filters. These filters are very similar to but quite different from those whic...

Under our enhancement, the luminance changes created by a texture are also enhanced. As we found with the book example, this simply means the enhancement is less robust to changes in radius and enhancement strength users may choose a weaker effect to avoid enhancing the textures. Or, should the user have special reason not to enhance texture at all, he or she may choose to render in two passes ...

The block-matching and 3-D filtering (BM3D) algorithm is currently one of the most powerful and effective image denoising procedures. It exploits a specific nonlocal image modelling through grouping and collaborative filtering. Grouping finds mutually similar 2-D image blocks and stacks them together in 3-D arrays. Collaborative filtering produces individual estimates of all grouped blocks by f...

Indian J Dermatol Venereol Leprol | March-April 2009 | Vol 75 | Issue 2 lesion in clinical practice, dermatologists consciously or unconsciously do just the opposite by trying to look for contrast between adjacent localized areas of the skin. By exaggerating contrast, unsharp-masking allows isolation and clearer appreciation of indistinct lesions and better delineation of peripheral borders of ...

This paper presents a fuzzy edge guided image sharpening technique. Sharpened image is obtained by subtracting the smoothed image of an input image from itself. Image smoothening is carried out with median filtering technique. Median filtering technique is a process of replacing the concerned pixel by the median value of pixels within a block as the concerned pixel is at center. Smoothening is ...

[1] The utility of a thermal image sharpening algorithm (TsHARP) in providing fine resolution land surface temperature data to a Two-Source-Model for mapping evapotranspiration (ET) was examined over two agricultural regions in the U.S. One site is in a rainfed corn and soybean production region in central Iowa. The other lies within the Texas High Plains, an irrigated agricultural area. It is ...

Previously we have presented a selective sharpening method for monochrome images. Our method is based on the simultaneous nonlinear reaction-diffusion time-evolution equipped with a nonlinear diffusion term, a reaction term and an overshooting term, and can sharpen degraded edges blurred by several causes without increasing the visibility of random noise. This paper extends our method to select...

This paper deals with the potential of spatial gamut mapping methods as a complement to global gamut mapping algorithms. The main goal is to recover the original local contrast between neighboring pixels in addition to the usual optimization of preserving lightness, saturation and global contrast. As a typical representative for such a spatial mapping concept, we study unsharp masking applied t...

Countershading is a common technique for local image contrast manipulations, and is widely used both in automatic settings, such as image sharpening and tonemapping, as well as under artistic control, such as in paintings and interactive image processing software. Unfortunately, countershading is a double-edged sword: while correctly chosen parameters for a given viewing condition can significa...