Topic
Edge enhancement
About: Edge enhancement is a research topic. Over the lifetime, 2324 publications have been published within this topic receiving 30962 citations.
Papers published on a yearly basis
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Patent•
11 Jan 2002TL;DR: In this article, a method for generating an enhanced image includes the steps of: (a) receiving a matrix of pixels representative of an image; (b) generating a gradient image representative of a difference between values of adjacent pixels; and (c) calculating a center of mass for each pixel of the gradient image in response to gradient intensity values and location values of neighboring pixels.
Abstract: A method for generating an enhanced image includes the steps of: (a) receiving a matrix of pixels representative of an image; (b) generating a gradient image representative of a difference between values of adjacent pixels; (c) calculating a center of mass for each pixel of the gradient image in response to gradient intensity values and location values of neighboring pixels; and (d) generating an enhanced image by modifying intensity values of pixels of the matrix of pixels that are located in a vicinity of local centers of mass in response to intensity values of pixels that are further displaced from the local centers of mass.
7 citations
TL;DR: This work proposes a novel SR method for remote sensing images using generative adversarial nets (CGAN) with introduction of content fidelity and scene constraint, which can achieve arbitrary high-time high-quality SR image.
7 citations
TL;DR: This paper presents a comparison between digital and polarization-based enhancement/encoding techniques with respect to their accuracy, security and processing time in automated pattern recognition applications.
Abstract: Image processing is a field of great interest for many applications. Nowadays it is very hard to name an
application where image processing is not involved. Digital techniques remains the dominant ones applied
to digital image processing with significant automation approaches that are built in image display, as in
most digital cameras and digital TVs, to name few. Depending on the application, digital image
processing techniques produces satisfactory accurate results. However, digital enhancement techniques
suffer from the main constraint: slow processing speed, an inherited problem associated with any digital
image processing technique. On the other hand optical image enhancement techniques such as the
polarization-based ones produce satisfactory accurate results and at the same time overcome the
processing time constraint associated with their digital counter ones. This paper presents a comparison
between digital and polarization-based enhancement/encoding techniques with respect to their accuracy,
security and processing time in automated pattern recognition applications.
7 citations
TL;DR: In this paper, the definition of edge is essential for dimension extraction from radiographic testing and one of the straightforward techniques for edge enhancement is the use of the derivative operator, which can be found in many edge enhancement techniques.
Abstract: The definition of edge is essential for dimension extraction from radiographic testing. One of the straightforward techniques for edge enhancement is the use of the derivative operator. This techni...
7 citations
TL;DR: In this paper, the optimisation of a photorefractive novelty filter configuration based on two-beam coupling and energy depletion of the object bearing beam was conducted for motion tracking and edge enhancement.
7 citations