Fisheye Image Correction with Ellipsoid Model

Radiometric Image Correction with Automatic Model Selection

Computer vision is a powerful tool for intelligent sensor development. However, noise in CCD cameras leads to significant radiometric distortions. Therefore, radiometric image correction is a critical operation, specially when physics-based models are applied for image processing, as is the case in many industrial applications. All known radiometric correction methods assume that noise characte...

A Generic Non-linear Method for Fisheye Correction

With rapid advances in the field of vision based systems and ever increasing applications that they foster to; it brings along many challenges both in terms of algorithm design and associated hardware. One such widely used gadget is the fisheye camera that is used in myriad of applications in various fields owing to their wide Field of View. However, these lenses introduce distortions when any ...

Creating Image-Based VR Using a Self-Calibrating Fisheye Lens

Image Quality Enhancement Using Pixel Wise Gamma Correction

This paper presents a new automatic image enhancement method by modifying the gamma value of its individual pixels. Most of existing gamma correction methods apply a uniform gamma value across the image. Considering the fact that gamma variation for a single image is actually nonlinear, the proposed method locally estimates the gamma values in an image using support vector machine. First, a dat...

A Novel NeighShrink Correction Algorithm in Image Denoising

Image denoising as a pre-processing stage is a used to preserve details, edges and global contrast without blurring the corrupted image. Among state-of-the-art algorithms, block shrinkage denoising is an effective and compatible method to suppress additive white Gaussian noise (AWGN). Traditional NeighShrink algorithm can remove the Gaussian noise significantly, but loses the edge information i...