Deblurring of grayscale images using inverse and Wiener filter

Sankhe, Prachi; Patil, Mukesh D.; Margaret, M.Alice

doi:10.1145/1980022.1980053

Cited by 15 publications

(2 citation statements)

References 4 publications

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“…The images captured from mobile phone cameras usually suffers from motion blurring problem that can corrupt the quality of an image seriously. In the first step, blur is removed from the image by using Wiener filter based deblurring approach [22]. The Wiener filter approach is an inverse filtering based approach and it is useful in order to remove additive noise and blur from image.…”

Section: Preprocessingmentioning

confidence: 99%

A Mosaic Approach to Touchless Fingerprint Image with Multiple Views

Alkhathami

Han

Schyndel

2014

Proceedings of the International Conference on Distributed Smart Cameras

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Touch-based fingerprint technology causes distortions to the fingerprint features due to contact between finger and sensor device. Touch-less fingerprint technique is introduced in an effort to solve this problem by avoiding contact between the finger and the surface of the sensor. However, single contactless images of the finger leads to less captured features and less overlap between the different views of the fingerprint. In this paper, a new touchless approach for fingerprints based on multiple views images is proposed. Three fingerprint images are captured from the left, center and right side of finger using mobile camera. These three images are combined together using the mosaic method in order to construct a large usable area and increase the overlap area. The proposed method has been compared with other proposed touchless methods. Our touchless mosaic method has offered better performance and achieves more fingerprint features compare to single view touchless method. The proposed method has been evaluated using our touchless database that consists of 480 fingerprint images.

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Section: Preprocessingmentioning

confidence: 99%

A Mosaic Approach to Touchless Fingerprint Image with Multiple Views

Alkhathami

Han

Schyndel

2014

Proceedings of the International Conference on Distributed Smart Cameras

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“…Nonblind deconvolution algorithms restore degraded images using a known PSF. Typical non-blind deconvolution algorithms include inverse filtering, Wiener filtering, and other algorithms [10][11][12][13]. However, non-blind deconvolution algorithms need additional devices, such as a wavefront sensor (WFS), to detect the exact PSF, which makes the system complex [10,14].…”

Section: Introductionmentioning

confidence: 99%

A DeturNet-Based Method for Recovering Images Degraded by Atmospheric Turbulence

Li,

Liu,

Wei

et al. 2023

Remote Sensing

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Atmospheric turbulence is one of the main issues causing image blurring, dithering, and other degradation problems when detecting targets over long distances. Due to the randomness of turbulence, degraded images are hard to restore directly using traditional methods. With the rapid development of deep learning, blurred images can be restored correctly and directly by establishing a nonlinear mapping relationship between the degraded and initial objects based on neural networks. These data-driven end-to-end neural networks offer advantages in turbulence image reconstruction due to their real-time properties and simplified optical systems. In this paper, inspired by the connection between the turbulence phase diagram characteristics and the attentional mechanisms for neural networks, we propose a new deep neural network called DeturNet to enhance the network’s performance and improve the quality of image reconstruction results. DeturNet employs global information aggregation operations and amplifies notable cross-dimensional reception regions, thereby contributing to the recovery of turbulence-degraded images.

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Table Detection Using Boundary Refining via Corner Locating

Sun

Zhu

2019

Pattern Recognition and Computer Vision

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Deblurring of grayscale images using inverse and Wiener filter

Cited by 15 publications

References 4 publications

A Mosaic Approach to Touchless Fingerprint Image with Multiple Views

A Mosaic Approach to Touchless Fingerprint Image with Multiple Views

A DeturNet-Based Method for Recovering Images Degraded by Atmospheric Turbulence

Table Detection Using Boundary Refining via Corner Locating

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