Objective and Subjective Study of the Dynamic Development of the City of Gyöngyös (Hungary)

Cities play a key role in EU regional policy, and to this end the Leipzig Charter called for the development of Integrated Urban Development Strategies (IVS) emphasizing an integrated approach in the 2007–2013 budget period, which was replaced in the period 2014–2020 by Integrated Settlement Development Strategies (ITS). We can find many experiments in the methodological elaboration of the measurement of regional and municipality development in the Hungarian and international literature. However, due to the complexity of the topic, no more widely accepted procedure has emerged, however, there is a common consensus that development is treated as a complex phenomenon. In the present study, we attempted to examine the development of the city of Gyöngyös through a complex system of indicators for the period 2010–2018. In addition, an important part of our research is to supplement the results obtained with statistical data and, if possible, to compare them to the subjective judgment of the residents. Our main goal was to answer how the changes of the indicator groups in the indicator system and their totality are perceived by the residents.

How Good is Too Good? A Subjective Study on Over Enhancement of Images

For a long time different studies have focused on introducing new image enhancement techniques. While these techniques show a good performance and are able to increase the quality of images, little attention has been paid to how and when overenhancement occurs in the image. This could possibly be linked to the fact that current image quality metrics are not able to accurately evaluate the quality of enhanced images. In this study we introduce the Subjective Enhanced Image Dataset (SEID) in which 15 observers are asked to enhance the quality of 30 reference images which are shown to them once at a low and another time at a high contrast. Observers were instructed to enhance the quality of the images to the point that any more enhancement will result in a drop in the image quality. Results show that there is an agreement between observers on when over-enhancement occurs and this point is closely similar no matter if the high contrast or the low contrast image is enhanced.

Development and Evaluation of a Threshold-Based Motion Cueing Algorithm

In this paper, a motion cueing algorithm (MCA) without a frequency divider is proposed, which aims to reproduce the longitudinal reference acceleration as far as possible via tilt coordination. Using a second-order rate limit, the human perception thresholds can directly be taken into account when parameterizing the MCA. The washout is compensated by tilt coordination and means of feedback from the translational acceleration. The proposed MCA is compared with the classical washout algorithm and the compensation MCA based on selected qualitative metrics and their workspace demand. In addition, a subjective study on the evaluation of the MCA was conducted. The results show that even high washout rates are not noticeable by the test subjects. Overall, the MCA was rated as very good.

Reconstructing Subjective Study Experiences during Shutdown in Pandemic Times

The article reports on a qualitative study based on interviews with students systematically conducted online since March 2020. A total of 13 individual and eleven group interviews on the personal study situation during the Corona shutdown have been conducted, analysed and evaluated. The students’ perspectives provide insights into how they subjectively reconstruct and classify the experiences they have made, what conclusions can be drawn from this for future higher education and how higher education institutions must evolve in order to support students in the best possible way. In addition to numerous challenges, the pandemic has brought forth the potential of students to shape and reflect on their learning processes in a self-determined and self-organised way and to contribute as experts to shaping the future of higher education.

The Concept of Concealment and its Effects on the Society in the light of Sunnah (A Subjective Study)

This research includes a selection of Hadiths from the Prophet’s Sunnah dealing with concealment (of disadvantages), the concept of concealment, how Islam preserves man’s honor, and is the forerunner in spreading virtue in the Muslim community. The research details the merits of those who conceal (disadvantages) for their Muslim brothers and their implications.

Adaptive Depth Guided Image Completion for Structure and Texture Synthesis

The problem of synthesis of missing image parts represents an interesting and challenging area of image processing and computer vision with significant potential. This thesis, focuses on an adaptive depth-guided image completion method that addresses the image completion problem using information contained in the rest of the image. The completion process is separated into structure and texture synthesis. A method is first introduced for completing the respective depth map through the use of a diffusion-based operation, preserving global image structure within the unknown region. Building upon the state of the art exemplar based inpainting technique of Barnes et al., we complete the target (unknown) region by matching to and blending source patches drawn from the rest of the image, using the reconstructed depth information to guide the completion process. Secondly, for each target patch, we formulate an adaptive patch size determination as an optimization problem that minimizes an objective function involving local image gradient magnitude and orientations. An extension to the coherence- based objective function introduced by Wexler et al. is then introduced, which not only encourages coherence of the respective target region with respect to the source region in colour but also in depth. We further consider the variance between patches in the SSD criteria for preventing error accumulation and propagation. Experimental results show that our method can provide a significant improvement to patch-based image completion algorithms shown by PSNR and SSIM calculations as well as a qualitative subjective study.

Adaptive Depth Guided Image Completion for Structure and Texture Synthesis

The problem of synthesis of missing image parts represents an interesting and challenging area of image processing and computer vision with significant potential. This thesis, focuses on an adaptive depth-guided image completion method that addresses the image completion problem using information contained in the rest of the image. The completion process is separated into structure and texture synthesis. A method is first introduced for completing the respective depth map through the use of a diffusion-based operation, preserving global image structure within the unknown region. Building upon the state of the art exemplar based inpainting technique of Barnes et al., we complete the target (unknown) region by matching to and blending source patches drawn from the rest of the image, using the reconstructed depth information to guide the completion process. Secondly, for each target patch, we formulate an adaptive patch size determination as an optimization problem that minimizes an objective function involving local image gradient magnitude and orientations. An extension to the coherence- based objective function introduced by Wexler et al. is then introduced, which not only encourages coherence of the respective target region with respect to the source region in colour but also in depth. We further consider the variance between patches in the SSD criteria for preventing error accumulation and propagation. Experimental results show that our method can provide a significant improvement to patch-based image completion algorithms shown by PSNR and SSIM calculations as well as a qualitative subjective study.