Optimal PSF Estimation for Simple Optical System Using a Wide-Band Sensor Based on PSF Measurement

Zheng, Yunda; Huang, Wei; Pan, Yun; Xu, Mingfei

doi:10.3390/s18103552

Cited by 9 publications

(4 citation statements)

References 21 publications

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“…However, the computation cost of this method was large. [7] present an optimal PSF estimation method based on PSF measurements. Narrow-band PSF measurements at a single depth are used to calibrate the optical system and wide-band sensors are used to restore images of simple optical systems stably without severe artifacts.…”

Section: Related Work a Single-lens Cameramentioning

confidence: 99%

“…Schuler et al [5], [7], [30] believe that people are more sensitive to the luminance of image than color, so in order to improve the image restoration quality, in the process of image restoration, the control of color should be increased and the control of luminance should be reduced. YUV space allows to regularize more strongly in the chrominance channels, and less in luminance.…”

Section: Non-blind Space-variant Psf Estimationmentioning

confidence: 99%

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PSF Estimation Method of Simple-Lens Camera Using Normal Sinh-Arcsinh Model Based on Noise Image Pairs

Zhan

Yin

et al. 2021

IEEE Access

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With the development of computational photography, single-lens camera combined with corresponding image deblurring algorithm is gradually becoming a new research direction, replacing complex modern optical imaging system such as single lens reflex (SLR) camera. For single-lens camera, the Point Spread Function (PSF) estimation accuracy will directly affect the image restoration effect. In this paper, we designed the simple-lens cameras with one, two and three lenses, respectively, and propose a robust and accurate PSF estimation method of simple-lens camera. The key point of estimation is to obtain the blur image and clear image pairs, which are necessary for non-blind deconvolution PSF estimation. Considering the structure characteristic of simple-lens camera, we take picture of original clear image displayed on the computer screen to get the image pairs through corner detection and color correction is made to remove color distortion. In addition, a few studies have shown that the PSF of the simple lens is close to the spatially deformed wedge, so we use a more reasonable Normal Sinh-Arcsinh (NSAS) model to fit the blur kernel and get its parameters by Powell algorithm. The experiment results have shown that the space-variant PSF estimated by the proposed method achieves better performance than the compared methods both qualitatively and quantitatively.

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Section: Related Work a Single-lens Cameramentioning

confidence: 99%

Section: Non-blind Space-variant Psf Estimationmentioning

confidence: 99%

PSF Estimation Method of Simple-Lens Camera Using Normal Sinh-Arcsinh Model Based on Noise Image Pairs

Zhan

Yin

et al. 2021

IEEE Access

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“…However, the light intensity of the point light source is weak, the measurement results are subject to sensor noise, and the signal-to-noise ratio is low. The fitted parameter method [10,11] uses the measured PSF to match the simulated PSF to calibrate the lens prescription and then compute fitted PSFs by simulation. However, for optical systems with low mounting accuracy, system mounting errors can have a serious impact on the PSF estimation.…”

Section: Introductionmentioning

confidence: 99%

Optical Aberration Calibration and Correction of Photographic System Based on Wavefront Coding

Yao

Shen

2021

Sensors

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The image deconvolution technique can recover potential sharp images from blurred images affected by aberrations. Obtaining the point spread function (PSF) of the imaging system accurately is a prerequisite for robust deconvolution. In this paper, a computational imaging method based on wavefront coding is proposed to reconstruct the wavefront aberration of a photographic system. Firstly, a group of images affected by local aberration is obtained by applying wavefront coding on the optical system’s spectral plane. Then, the PSF is recovered accurately by pupil function synthesis, and finally, the aberration-affected images are recovered by image deconvolution. After aberration correction, the image’s coefficient of variation and mean relative deviation are improved by 60% and 30%, respectively, and the image can reach the limit of resolution of the sensor, as proved by the resolution test board. Meanwhile, the method’s robust anti-noise capability is confirmed through simulation experiments. Through the conversion of the complexity of optical design to a post-processing algorithm, this method offers an economical and efficient strategy for obtaining high-resolution and high-quality images using a simple large-field lens.

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“…In the problem of APSF estimation, the point object with better imaging quality in the image was selected, and the initial value of APSF was obtained according to the atmospheric transfer equation. Generally, the initial value of APSF estimated in this way may be accurate around the point object, but because the value will be different far away from the point, it means the initial value of APSF estimated cannot properly reflect the APSF of the whole image [28]. In order to get the best APSF for the whole image, the initial value needs to be further optimized.…”

Section: Introductionmentioning

confidence: 99%

Night-Light Image Restoration Method Based on Night Scattering Model for Luojia 1-01 Satellite

Zhang

et al. 2019

Sensors

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Aiming at solving the degradation problem of Luojia 1-01 night-light remote sensing images, the main reason for the “glow” phenomenon was analyzed. The APSF (Atmospheric Point Spread Function) template of night-light image was obtained from atmospheric source scattering. The template was used as the initial value in the regularization restoration model in this paper. Experiments were carried out using single point and regional images. The results demonstrate that the estimated APSF and restoration results of the method are better than those from other methods, and the image quality is improved after restoration.

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Optimal PSF Estimation for Simple Optical System Using a Wide-Band Sensor Based on PSF Measurement

Cited by 9 publications

References 21 publications

PSF Estimation Method of Simple-Lens Camera Using Normal Sinh-Arcsinh Model Based on Noise Image Pairs

PSF Estimation Method of Simple-Lens Camera Using Normal Sinh-Arcsinh Model Based on Noise Image Pairs

Optical Aberration Calibration and Correction of Photographic System Based on Wavefront Coding

Night-Light Image Restoration Method Based on Night Scattering Model for Luojia 1-01 Satellite

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