Image restoration based on camera microscanning

Martínez, José Luis López; Kober, Vitaly; Ovseyevich, I. A.

doi:10.1134/s1054661810030132

Cited by 5 publications

(3 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…9,10 Recently, a blind adaptive method based on camera microscanning were proposed for restoration of gray-scale images degraded with multiplicative interference, additive interference and sensor's noise. 11,12 In this paper we present a method to restore color images from a set of degraded color images obtained with a microscanning imaging system. First, we use microscanning to obtain a set of observed degraded color images of the same scene with a controlled shift between the scene and camera.…”

Section: Introductionmentioning

confidence: 99%

Color image restoration based on camera microscanning

2014

View full text Add to dashboard Cite

In this work, we propose a method to restore color images from a set of degraded color images obtained with a microscanning imaging system. Using the set of observed images, image restoration is carried out by solving a system of equations that is derived from optimization of an objective function. Since the proposed method possesses a high computational complexity, a fast algorithm is developed. Experimental and computer simulation results obtained with the proposed method are analyzed in terms of restoration accuracy and tolerance to additive input noise.

show abstract

Section: Introductionmentioning

confidence: 99%

Color image restoration based on camera microscanning

2014

View full text Add to dashboard Cite

show abstract

“…This bias is a spatial nonuniformity, which is owing to the variation in the photo-responses of individual detectors of the array 3 . Recently, a blind image restoration algorithm based on camera microscanning 4,5 was proposed for image restoration of additive interference 6 . This algorithm has the advantage that it is not necessary to know the degradation function (bias) and that the information for restoration is obtained from the image set.…”

Section: Introductionmentioning

confidence: 99%

Fast image restoration algorithm based on camera microscanning

Martínez

Kober

2009

Applications of Digital Image Processing XXXII

Self Cite

View full text Add to dashboard Cite

Recently, a blind image restoration algorithm based on camera microscanning was proposed. Unfortunately, the computational complexity of the algorithm is very high. In this paper we propose a fast algorithm for image restoration using the information obtained during camera microscanning. First, the captured observed images are decomposed into a pyramidal set of small images. Next, the blind iterative algorithm is applied for restoration of the set of small images. Finally, the resultant output image is constructed from the set of restored small images. Simulation results are presented and discussed. Preliminary results show that the processing time is significantly reduced.

show abstract

“…Recently, restoration methods for different models of observed scenes using three images anisotropically captured with a microscanning imaging system were investigated (López-Martínez & Kober, 2008. In order to carry out restoration, we consider three degraded images captured with a microscanning imaging system.…”

Section: Introductionmentioning

confidence: 99%