This paper presents a novel approach to depth recovery from image blur by zooming. We first discuss the optical properties of a zoom lens system; the image blur varies according to zoom as well as focus and iris settings. Then a thin lens based camera model is proposed that is characterized by the effective focal length and lens diameter. Using this model, we have proved that the depth informat...

A single sensor provided with a color filter array (CFA) format looks like a mosaic image. Each pixel in the image contains a primary color, red, green and blue, arranged alternately. Most previous interpolation and zooming techniques for CFA image utilize the gradient and the spatial information of the neighborhood color pixels around the interpolation positions. However, their characteristics...

Interpolation is the process of transferring image from one resolution to another without losing image quality. In Image processing field, image interpolation is very important function for doing zooming, enhancement of image, resizing any many more. Here in this paper, we have reviewed different interpolation algorithms. We have implemented all reviewed interpolation algorithms and done compar...

Abstract We perform a qualitative and quantitative analysis of various multi-frame color optical flow methods for synthetic and real panning and zooming image sequences. We show that optical flow accuracy improvement can be slightly improved if color images are available instead of gray value or saturation images. We show the usefulness of a directional regularization constraint for computing o...

This paper deals with the theory and application of 2-Dimensional, nine-neighborhood, nullboundary, uniform as well as hybrid Cellular Automata (2D CA) linear rules in image processing. These rules are classified into nine groups depending upon the number of neighboring cells influences the cell under consideration. All the Uniform rules have been found to be rendering multiple copies of a give...

Super-resolution image zooming is possible when the image has some geometric regularity. Directional interpolation algorithms are used in industry, with ad-hoc regularity measurements. Sparse signal decompositions in dictionaries of curvelets or bandlets find indirectly the directions of regularity by optimizing the sparsity. However, super-resolution interpolations in such dictionaries do not ...

BACKGROUND Unstable carotid plaques on subjective, visual, assessment using B-mode ultrasound scanning appear as echolucent and heterogeneous. Although previous studies on computer assisted plaque characterisation have standardised B-mode images for brightness, improving the objective assessment of echolucency, little progress has been made towards standardisation of texture analysis methods, w...

This paper presents a fast digital zooming system for mobile consumer cameras using directionally adaptive image interpolation and restoration methods. The proposed interpolation algorithm performs edge refinement along the initially estimated edge orientation using directionally steerable filters. Either the directionally weighted linear or adaptive cubic-spline interpolation filter is then se...

Demosaicking and zooming are important for the quality of digital images in resource-constrained single chip devices such as wireless camera phones and vision-based pocket devices. The color artifacts introduced in the demosaicking process can be magnified in the subsequent zooming process and vice versa. This paper presents a joint demosaicking–zooming scheme by exploiting the fact that red/gr...