Peer group image enhancement

Digital image enhancement: vector median filter and peer group filtering

An Efficient Gaussian Noise Removal Image Enhancement Technique for Gray Scale Images

Image enhancement is a challenging issue in many applications. In the last two decades, there are various filters developed. This paper proposes a novel method which removes Gaussian noise from the gray scale images. The proposed technique is compared with Enhanced Fuzzy Peer Group Filter (EFPGF) for various noise levels. Experimental results proved that the proposed filter achieves better Peak...

Persian Speakers’ Recognition of English Relative Clauses: The Effects of Enhanced Input vs. Explicit Feedback Types

Despite consensus in focus on form (FOF) instruction over the facilitative role of noticing, controversy has not quelled over ways of directing EFL learners’ attention towards formal features via implicit techniques like input-enhancement or explicit metacognitive feedback and interactive peer-editing on the output they produce. This quasi-experimental study investigated the impact of input enh...

Image Enhancement via Reducing Impairment Effects on Image Components

In this paper, a new approach is presented for improving image quality. It provides a new outlook on how to apply the enhancment methods on images. Image enhancement techniques may deal with the  illumination, resolution, or distribution of pixels values. Issues such as the illumination of the scene and reflectance of objects affect on image captures. Generally, the pixels value of an image is ...

A General Framework for 1-D Histogram-baesd Image Contrast Enhancement

In this paper, a general framework for image contrast enhancement algorithm based on an optimization problem is presented. Through this optimization, the intensities can be better distributed. The algorithm is based on the facts that the histogram of the enhanced image is close to the input image histogram and uniform distribution, simultaneously. Based on this fact, we obtain a closed form opt...