Enhancement of Infrared Image: a Review

FPGA-based of Thermogram Enhancement Algorithm for Non-destructive Thermal Characterization

Image Enhancement Techniques: A Comprehensive Review

Image enhancement is most crucial preprocessing step of digital image processing. It is used to enhance features of digital image in order to improve its visual appearance and to make it more suitable for autonomous machine perception. Image enhancement is subjective process of improvement and is application dependent. Apart from visible region, digital images can also be created from remaining...

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...

Infrared Image Enhancement Using Wavelet Transform

In Infrared Image Enhancement using Wavelet Transform, two enhancement algorithms namely spatial and spatiotemporal homomorphic filtering (SHF and STHF) have been given for enhancement of the far infrared images based upon a far infrared imaging model. Although spatiotemporal homomorphic filtering may reduce the number of iterations greatly in comparison to spatial one for a similar degree of c...