Bilateral filter

About: Bilateral filter is a research topic. Over the lifetime, 3500 publications have been published within this topic receiving 75582 citations.

Novel bilateral filter approach: Image noise reduction with sharpening

Abstract: The classical bilateral filter smoothes images and preserves edges using a nonlinear combination of surrounding pixels. Our modified bilateral filter advances this approach by sharpening edges as well. This method uses geometrical and photometric distance to select pixels for combined low and high pass filtering. It also uses a simple window filter to reduce computational complexity.

Real-time feature-aware video abstraction

Abstract: This paper presents a novel feature-aware rendering system that automatically abstracts videos and images with the goal of improving the effectiveness of imagery for visual communication tasks. We integrate the bilateral grid to simplify regions of low contrast, which is faster than the separable approximation to the bilateral filter, and use a feature flow-guided anisotropic edge detection filter to enhance regions of high contrast. The edges detected in this paper are smoother, more coherent and stylistic than those of the isotropic difference-of-Gaussian filter. The presented algorithms are highly parallel, allowing a real-time performance on modern GPUs. The implementation of our approach is straightforward. Several experimental examples are given at the end of the paper to demonstrate the effectiveness of our approach.

Image processing unit processing pixel data according to scan line density

Abstract: An image processing unit comprises an image scanning unit for scanning an original at a plurality of predetermined line densities, a smoothing unit for smoothing the intensity of each pixel, the intensity of each pixel being corrected to be the average intensity of a predetermined number of pixels surrounding each pixel in a predetermined pixel area, a binarizing unit for binarizing the corrected pixel by a half-tone processing, and a pixel area changing unit for changing the pixel area based on the line density employed by the image scanning unit. The intensity of each pixel may be corrected, by using pixels included in the predetermined pixel area, based on the existence of a pixel corresponding to a contour or a fine line in the original in the pixel area. A clear image of a mesh picture is obtained without generation of moire, blurring of contours, or breaking of fine lines.

Adaptive image filter for filtering image information

Abstract: This disclosure describes adaptive filtering techniques to improve the quality of captured imagery, such as video or still images. In particular, this disclosure describes adaptive filtering techniques that filter each pixel as a function of a set of surrounding pixels. An adaptive image filter may compare image information associated with a pixel of interest to image information associated with a set of surrounding pixels by, for example, computing differences between the image information associated with the pixel of interest and each of the surrounding pixels of the set. The computed differences can be used in a variety of ways to filter image information of the pixel of interest. In some embodiments, for example, the adaptive image filter may include both a low pass component and high pass component that adjust as a function of the computed differences.

Image sensor with flexible pixel summing

Abstract: An image sensor can include pixels that are grouped into subsets of pixels, with each subset including three or more pixels. A method for asymmetrical high dynamic range imaging can include capturing an image of a subject scene using a single integration time for all of the pixels. In a subset of pixels, charge in N pixels is read out and summed together. N represents a number that is between two and one less than a total number of pixels in the subset. Un-summed charge is read out from one pixel in the subset. The un-summed charge and the summed charge are combined when producing a high dynamic range image.