A fast focus measure for video display inspection
Machine Vision and Applications
Multifocal Projection: A Multiprojector Technique for Increasing Focal Depth
IEEE Transactions on Visualization and Computer Graphics
Blind blur assessment for vision-based applications
Journal of Visual Communication and Image Representation
Adaptive image restoration based on local robust blur estimation
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Pattern selective image fusion for multi-focus image reconstruction
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Regularized image restoration by means of fusion for digital auto focusing
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
Multi-object digital auto-focusing using image fusion
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
IWCIA'04 Proceedings of the 10th international conference on Combinatorial Image Analysis
Isotropic blur identification for fully digital auto-focusing
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
All-in-Focus imaging using a series of images on different focal planes
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Hierarchical blur identification from severely out-of-focus images
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
A depth cue method based on blurring effect in augmented reality
Proceedings of the 4th Augmented Human International Conference
Hi-index | 0.43 |
We propose a simultaneous out-of-focus blur estimation and restoration technique for a fully digital auto-focusing system. The proposed auto-focusing system can make in-focused images by using only digital image processing techniques, and it requires neither infrared light or ultrasound nor a focusing lens assembly operated by a motor. As a result, it can provide savings in the volume and cost of the imaging system, which contains the proposed auto-focusing system. The proposed system first divides the input image into multiple sub-images or blocks, determines the set of blocks which contain linear edges, estimates the step response across the edge for each block in the selected set, computes the one-dimensional step response by averaging the step responses, estimates the two-dimensional point spread function (PSF) from the averaged step response, and finally provides in-focused image by an image restoration filter based on the estimated PSF. There is a limit on the amount of out-of-focus, which can be recovered by the proposed auto-focusing system. The proposed system operates under the assumption that an input image contains at least one piece-wise linear boundary between an object and the background. In spite of the above mentioned limitations, the proposed system can make an acceptable quality of focused image by using only digital signal processing