Computers and Electrical Engineering
Automatic segmentation of focused objects from images with low depth of field
Pattern Recognition Letters
Implementation of Digital Electronic Arithmetics and its application in image processing
Computers and Electrical Engineering
Extended-depth-of-field iris recognition using unrestored wavefront-coded imagery
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on recent advances in biometrics
Additive noise removal using a novel fuzzy-based filter
Computers and Electrical Engineering
Visual impact enhancement via image histogram smoothing and continuous intensity relocation
Computers and Electrical Engineering
Combining deblurring and denoising for handheld HDR imaging in low light conditions
Computers and Electrical Engineering
Image Restoration by Matching Gradient Distributions
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Light Field Camera: Extended Depth of Field, Aliasing, and Superresolution
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Digital Gigapixel Large-Format Tile-Scan Camera
IEEE Computer Graphics and Applications
Medical image denoising using adaptive fusion of curvelet transform and total variation
Computers and Electrical Engineering
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Many applications require images with high resolution and an extended depth of field. Directly changing the depth of field in optical systems results in losing resolution and information from the captured scene. Different methods have been proposed for carrying out the task of extending the depth of field. Traditional techniques consist of optical-system manipulation by reducing the pupil aperture along with the image resolution. Other methods propose the use of optical arrays with computing-intensive digital post-processing for extending the depth of field. This work proposes a pre-processing optical system and a cost-effective post-processing digital treatment based on an optimized Kalman filter to extend the depth of field in images. Results demonstrate that the proposed pre-processing and post-processing techniques provide images with high resolution and extended depth of field for different focalization errors without requiring optical system calibration. In assessing the resulting image through the universal image quality index, this technique proves superior.