A Study of the Influence of the PSF Accuracy on the Quality of Image Deblurring

Zamfir, Marta; Zamfir, Adrian; Buzuloiu, Vasile; Drîmbarean, Alexandru

doi:10.1109/isscs.2007.4292637

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…One approach is the multidimensional quantitative analysis based on macro-statistical data, which has a decades-long history of mapping cumulative deprivation in Europe, including the Central and Eastern European region. Much of the analysis on Roma deprivation and the problem of social exclusion and intergenerational deprivation also focuses on the spatial occurrence of these phenomena as a way to capture the phenomenon of segregation (Zamfir and Zamfir 1993;Szelényi 2003, 2006;Sandu 1999Sandu , 2005Sandu , 2011Ladányi and Virág 2009;Ladányi et al 2010;Vincze 2013;Vincze and Hossu 2014;Horváth 2017;Zamfir 2018).…”

Section: Theoretical Context: the Situation Of The Roma In Romaniamentioning

confidence: 99%

Livelihood Strategies during the COVID-19 Epidemic in Materially Disadvantaged Roma Communities from Covasna County, Romania

Veres

2023

Social Sciences

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The study aims to analyze the livelihood strategies related to the labour market during the coronavirus pandemic in the context of the material and income situation in Roma communities in a multicultural rural area of Covasna County, Romania. The data source comprises adapted sociological research that was carried out using multiple methods in 2021, in three localities: Boroșneu, Ojdula, and Zăbala in Covasna County, Romania. Of the dimensions examined, housing deprivation, material deprivation, and unemployment were of particular importance. Based on these dimensions, we analyzed the local economic situation and social services; we then developed a typology of dimensions to analyze the livelihood strategies of Roma groups from different socio-economic backgrounds during the coronavirus pandemic. We tried to answer questions about the changes and ways of adaptation in the livelihood strategies of Roma communities to the restrictions that occurred during the coronavirus pandemic in Romania from 2020–2021. The results of the research show that during the period of the COVID-19 pandemic, the material and income situations worsened for people previously employed in the informal labour market, involved in precarious work, and those of very low work intensity in selected rural Roma communities in Covasna County. Neither the regulations and legal measures introduced, nor the social protection system, was sensitive to the needs of the Roma, who were the most vulnerable to the social consequences of the pandemic restrictions.

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Section: Theoretical Context: the Situation Of The Roma In Romaniamentioning

confidence: 99%

Livelihood Strategies during the COVID-19 Epidemic in Materially Disadvantaged Roma Communities from Covasna County, Romania

Veres

2023

Social Sciences

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“…They were affected by noise and the PSF estimation is not very precise. It is known that, if the PSF estimation is far from the true PSF, the de-blurred image can have annoying artifacts such as ringing, or the image is insufficiently de-blurred [12]. Therefore, more information might be beneficial and one under-exposed (but sharp) image can provide this additional information.…”

Section: Preprocessing Stepsmentioning

confidence: 99%

Adaptive recovery of motion blur point spread function from differently exposed images

et al. 2010

Self Cite

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Motion due to digital camera movement during the image capture process is a major factor that degrades the quality of images and many methods for camera motion removal have been developed. Central to all techniques is the correct recovery of what is known as the Point Spread Function (PSF). A very popular technique to estimate the PSF relies on using a pair of gyroscopic sensors to measure the hand motion. However, the errors caused either by the loss of the translational component of the movement or due to the lack of precision in gyro-sensors measurements impede the achievement of a good quality restored image. In order to compensate for this, we propose a method that begins with an estimation of the PSF obtained from 2 gyro sensors and uses a pair of under-exposed image together with the blurred image to adaptively improve it. The luminance of the under-exposed image is equalized with that of the blurred image. An initial estimation of the PSF is generated from the output signal of 2 gyro sensors. The PSF coefficients are updated using 2D-Least Mean Square (LMS) algorithms with a coarse-to-fine approach on a grid of points selected from both images. This refined PSF is used to process the blurred image using known deblurring methods. Our results show that the proposed method leads to superior PSF support and coefficient estimation. Also the quality of the restored image is improved compared to 2 gyro only approach or to blind image de-convolution results.

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“…The essence of image lag is the motion blur caused by the relative motion between the camera and the target during the integration time. To solve this problem, there are some methods to restore clear images by analyzing the point spread function (PSF) [20][21][22]. For example, Chengtao Cai et al used wiener filtering to restore the image by analyzing the PSF of the motion blurred image [23].…”

Section: Introductionmentioning

confidence: 99%

High‐speed target tracking algorithm for the pulse‐sequence‐based image sensor

Wang

Gao

et al. 2020

IET Image Processing

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This paper proposed a high-speed target tracking algorithm based on the pulse-sequencebased image sensor. The algorithm separates the target from the background through the statistical distribution of the pulses in a single frame of data. In order to achieve more accurate target tracking, the phenomenon of image lag in the process of capturing the high-speed moving target is studied. The positioning deviation is compensated by estimating the image lag length of the moving target. The algorithm is implemented with pipeline processing on field-programmable gate array (FPGA). The positioning accuracy of the algorithm is verified with input data from a pulse-sequence image sensor model. The verification results show that the maximum position deviation of the target at different speeds is 0.94 pixels. In the experiment of tracking a 40 m/s moving ball, this algorithm can provide real-time position information within 44 ns.

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A Study of the Influence of the PSF Accuracy on the Quality of Image Deblurring

Cited by 4 publications

References 3 publications

Livelihood Strategies during the COVID-19 Epidemic in Materially Disadvantaged Roma Communities from Covasna County, Romania

Livelihood Strategies during the COVID-19 Epidemic in Materially Disadvantaged Roma Communities from Covasna County, Romania

Adaptive recovery of motion blur point spread function from differently exposed images

High‐speed target tracking algorithm for the pulse‐sequence‐based image sensor

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