Image quality is a well understood concept for human viewing applications, particularly in the multimedia space, but increasingly in an automotive context as well. The rise in prominence of autonomous driving and computer vision brings to the fore research in the area of the impact of image quality in camera perception for tasks such as recognition, localization and reconstruction. While the definition of "image quality" for computer vision may be ill-defined, what is clear is that the configuration of the image signal processing pipeline is the key factor in controlling the image quality for computer vision. This paper is partly review and partly positional with demonstration of several preliminary results promising for future research. As such, we give an overview of what is an.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321211PMC
http://dx.doi.org/10.3390/jimaging5100078DOI Listing

Publication Analysis

Top Keywords

image quality
12
computer vision
12
autonomous driving
8
overview empirical
4
empirical analysis
4
analysis isp
4
isp parameter
4
parameter tuning
4
tuning visual
4
visual perception
4

Similar Publications

Magnetic Resonance Imaging (MRI) safety is a critical concern in the Asia-Oceania region, as it is elsewhere in the world, due to the unique and complex MRI environment that demands attention. This call-for-action outlines ten critical steps to enhance MRI safety and promote a culture of responsibility and accountability in the Asia-Oceania region. Key focus areas include strengthening education and expertise, improving quality assurance, fostering collaboration, increasing public awareness, and establishing national safety boards.

View Article and Find Full Text PDF

Male infertility is a common complication of diabetes. Diabetes leads to the decrease of zinc (Zn) content, which is a necessary trace element to maintain the normal structure and function of reproductive organs and spermatogenesis. The purpose of this study was to investigate the effect of metformin combined with zinc on testis and sperm in diabetic mice.

View Article and Find Full Text PDF

New Numerical Inversion Method to Improve the Spatial Accuracy of Elemental Imaging for LA-ICP-MS.

Anal Chem

January 2025

State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan 430074, PR China.

The elemental imaging of laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) provides spatial information on elements and therefore can further investigate the growth or evolution processes of an analyte. However, the accurate determination of spatial information is limited by the decoupling between the elemental distribution and mass spectrometry signals. This phenomenon, which is more distinct when high-diffusion ablation cells are used, arises from the overlap of ablation and the transport dispersion of aerosols.

View Article and Find Full Text PDF

Proton magnetic resonance spectroscopy (MRS) offers a non-invasive, repeatable, and reproducible method for in vivo metabolite profiling of the brain and other tissues. However, metabolite fingerprinting by MRS requires high signal-to-noise ratios for accurate metabolite quantification, which has traditionally been limited to large volumes of interest, compromising spatial fidelity. In this study, we introduce a new optimized pipeline that combines LASER MRS acquisition at 11.

View Article and Find Full Text PDF

The development of deep learning algorithms has transformed medical image analysis, especially in brain tumor recognition. This research introduces a robust automatic microbrain tumor identification method utilizing the VGG16 deep learning model. Microscopy magnetic resonance imaging (MMRI) scans extract detailed features, providing multi-modal insights.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!