What's wrong with mean-squared error?
Digital images and human vision
A Multichannel Approach to Fingerprint Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear image processing
Digital Image Processing: PIKS Inside
Digital Image Processing: PIKS Inside
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Fingerprint enhancement with dyadic scale-space
Pattern Recognition Letters
Random and pseudorandom inputs for Volterra filter identification
IEEE Transactions on Signal Processing
Arbitrary body segmentation in static images
Pattern Recognition
A general framework for quadratic Volterra filters for edge enhancement
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Hi-index | 0.01 |
The paper summarizes the design and implementation of a quadratic edge detection filter based on Volterra series. The filter is employed in an unsharp masking scheme for enhancing fingerprints in a dark and noisy background. The proposed filter can account for much of the polynomial nonlinearities inherent in the input image and can replace the conventional edge detectors like Laplacian, LoG, etc. The application of the new filter is in forensic investigation where enhancement and identification of latent fingerprints are key issues. The enhancement of images by the proposed method is superior to that with unsharp masking scheme employing conventional filters in terms of the visual quality, the noise performance and the computational complexity, making it an ideal candidate for latent fingerprint enhancement.