Restoration of motion blurred image in dual CMOS imaging system

Ci-en, 范赐恩 Fan; Xi, 陈曦 Chen; Liguo, 张立国 Zhang; Hu, 张虎 Zhang; De-xiang, 邓德祥 Deng

doi:10.3788/ope.20122006.1389

Cited by 2 publications

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“…Usually image processing motion compensation algorithms are: difference algorithm [2], Inverse Filter, Wiener Filter [3,4], Kalman Filter [5], Richardson-Lucy iterative algorithm [6]. Due to the presence of the noise, inverse filtering may cause noise amplification which can obscure the desired image information.…”

Section: Introductionmentioning

confidence: 99%

Restoration of Motion Blurred Image Based on PSO Combine Wiener Filter in Ship Imaging System

Wang

2014

AMR

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Ship internal equipment vibration will cause the imaging system platform vibration, resulting in blurred images. Wiener Filter is often used to restore the motion blurred image. The principle of the method expects to minimize the mean square error between the restore image and original image. However, this method has some constrains, if parameter selection improper, it generates ringing effect easily. Usually, most users select parameter by rule of thumb, so they frequently fail to generate the optimal solution. In order to get high quality restore image, eliminate the ringing effect, a new approach based on particle swarm optimization (PSO) Wiener Filter was proposed, which automatically adjusts the parameter for Wiener Filter, this method seek the optimal solution by transferring information between individuals and information sharing, which is a highly efficient parallel search algorithm, insuring the accuracy of parameter selection, effectively reducing the ringing effect after image restoration, improve image quality of restoration.

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Section: Introductionmentioning

confidence: 99%

Restoration of Motion Blurred Image Based on PSO Combine Wiener Filter in Ship Imaging System

Wang

2014

AMR

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“…Usually image processing motion compensation algorithms are: difference algorithm [2], Inverse Filter, Wiener Filter [3,4], Kalman Filter [5], Richardson-Lucy iterative algorithm [6]. It is well known that this noise amplification can be avoided to a great extent by using a Wiener Filter.…”

Section: Introductionmentioning

confidence: 99%

Motion Blurred Image Restoration Algorithm Based on AGA and Wiener Filter in Ship Imaging System

Liu

Wang²,

2013

AMR

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Ship internal equipment vibration will cause the imaging system platform vibration, resulting in blurred images. Wiener Filter is often used to restore the motion blurred image. The principle of the method expects to minimize the mean square error between the restore image and original image. However, this method has some constrains, and it generates ringing effect easily. In order to get high quality restore image, eliminate the ringing effect, a new approach based on an adaptive genetic algorithm (AGA) Wiener Filter was proposed, which automatically adjusts the SNR parameter value for Wiener Filter, this method selects crossover probability and mutation probability according to the fitness values of the object function, therefore reduces the convergence time and improves the precision of simple genetic algorithm (SGA), insuring the accuracy of parameter selection, effectively reducing the ringing effect after image restoration, improve image quality of restoration.

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Restoration of motion blurred image in dual CMOS imaging system

Cited by 2 publications

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Restoration of Motion Blurred Image Based on PSO Combine Wiener Filter in Ship Imaging System

Restoration of Motion Blurred Image Based on PSO Combine Wiener Filter in Ship Imaging System

Motion Blurred Image Restoration Algorithm Based on AGA and Wiener Filter in Ship Imaging System

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