Interactive Path Tracing and Reconstruction of Sparse Volumes

We combine state-of-the-art techniques into a system for high-quality, interactive rendering of participating media. We leverage unbiased volume path tracing with multiple scattering, temporally stable neural denoising and NanoVDB [Museth 2021], a fast, sparse voxel tree data structure for the GPU, to explore what performance and image quality can be obtained for rendering volumetric data. Additionally, we integrate neural adaptive sampling to significantly improve image quality at a fixed sample budget. Our system runs at interactive rates at 1920 × 1080 on a single GPU and produces high quality results for complex dynamic volumes.

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Image Quality Analysis of X-ray Grating Interferometer Using Integrating-bucket Method

Journal of Imaging Science and Technology ◽

10.2352/j.imagingsci.technol.2020.64.2.020503 ◽

2020 ◽

Vol 64 (2) ◽

pp. 20503-1-20503-5

Author(s):

Faiz Wali ◽

Shenghao Wang ◽

Ji Li ◽

Jianheng Huang ◽

Yaohu Lei ◽

...

Keyword(s):

Image Quality ◽

Phase Contrast ◽

Quality Analysis ◽

Phase Contrast Imaging ◽

Phase Image ◽

Contrast Imaging ◽

High Quality ◽

Image Quality Analysis ◽

X Ray ◽

Grating Interferometer

Abstract Grating-based x-ray phase-contrast imaging has the potential to enhance image quality and provide inner structure details non-destructively. In this work, using grating-based x-ray phase-contrast imaging system and employing integrating-bucket method, the quantitative expressions of signal-to-noise ratios due to photon statistics and mechanical error are analyzed in detail. Photon statistical noise and mechanical error are the main sources affecting the image noise in x-ray grating interferometry. Integrating-bucket method is a new phase extraction method translated to x-ray grating interferometry; hence, its image quality analysis would be of great importance to get high-quality phase image. The authors’ conclusions provide an alternate method to get high-quality refraction signal using grating interferometer, and hence increases applicability of grating interferometry in preclinical and clinical usage.

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Faculty Opinions recommendation of PROPELLER technique to improve image quality of MRI of the shoulder.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.13396977.14765098 ◽

2011 ◽

Author(s):

Maria Cova ◽

Emilio Quaia

Keyword(s):

Image Quality ◽

Improve Image Quality

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Logical Structure for User Friendly dynamic Web Page Visualization for Small Screen Terminals Promoting E-Business

Recent Patents on Engineering ◽

10.2174/1872212114999201109204536 ◽

2020 ◽

Vol 14 ◽

Author(s):

Shefali Singhal ◽

Poonam Tanwar

Keyword(s):

Logical Structure ◽

Vital Role ◽

Web Pages ◽

Main Concern ◽

Web Page ◽

Large Screen ◽

Tree Data ◽

Tree Data Structure ◽

User Friendly ◽

Small Screen

Abstract:: Now-a-days when everything is going digitalized, internet and web plays a vital role in everyone’s life. When one has to ask something or has any online task to perform, one has to use internet to access relevant web-pages throughout. These web-pages are mainly designed for large screen terminals. But due to mobility, handy and economic reasons most of the persons are using small screen terminals (SST) like mobile phone, palmtop, pagers, tablet computers and many more. Reading a web page which is actually designed for large screen terminal on a small screen is time consuming and cumbersome task because there are many irrelevant content parts which are to be scrolled or there are advertisements, etc. Here main concern is e-business users. To overcome such issues the source code of a web page is organized in tree data-structure. In this paper we are arranging each and every main heading as a root node and all the content of this heading as a child node of the logical structure. Using this structure, we regenerate a web-page automatically according to SST size. Background:: DOM and VIPS algorithms are the main background techniques which are supporting the current research. Objective:: To restructure a web page in a more user friendly and content presenting format. Method Backtracking:: Method Backtracking: Results:: web page heading queue generation. Conclusion:: Concept of logical structure supports every SST.

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Can Anti-Scatter Grids Improve Image Quality in Breast CT

IFMBE Proceedings - World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany ◽

10.1007/978-3-642-03879-2_243 ◽

2009 ◽

pp. 868-870

Author(s):

S. J. Glick ◽

C. S. Didier

Keyword(s):

Image Quality ◽

Breast Ct ◽

Improve Image Quality

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Computer-Generated Hologram Based on Reference Light Multiplexing for Holographic Display

Applied Sciences ◽

10.3390/app11167199 ◽

2021 ◽

Vol 11 (16) ◽

pp. 7199

Author(s):

Dapu Pi ◽

Juan Liu

Keyword(s):

Image Quality ◽

Numerical Simulations ◽

Light Wave ◽

Information Capacity ◽

Improve Image Quality ◽

Multiple Images ◽

Holographic Display ◽

Light Waves ◽

Computer Generated Holograms ◽

Holographic Displays

In this article, we propose a reference light wave multiplexing scheme to increase the information capacity of computer-generated holograms. The holograms were generated by different reference light waves and superimposed together as a multiplexed hologram. A modified Gerchberg–Saxton algorithm was used to improve image quality, and different images could be reconstructed when the multiplexed hologram was illuminated by corresponding reference light waves. We performed both numerical simulations and optical experiments to demonstrate the feasibility of the proposed scheme. Numerical simulations showed that the proposed method could reconstruct multiple images successfully by a single multiplexed hologram and optical experiments are consistently good with numerical simulations. It is expected that the proposed method has great potential to be widely applied in holographic displays in the future.

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An Underwater Image Enhancement Algorithm Based on Generative Adversarial Network and Natural Image Quality Evaluation Index

Journal of Marine Science and Engineering ◽

10.3390/jmse9070691 ◽

2021 ◽

Vol 9 (7) ◽

pp. 691

Author(s):

Kai Hu ◽

Yanwen Zhang ◽

Chenghang Weng ◽

Pengsheng Wang ◽

Zhiliang Deng ◽

...

Keyword(s):

Image Quality ◽

Image Enhancement ◽

Quality Evaluation ◽

High Efficiency ◽

Natural Image ◽

High Quality ◽

Generative Adversarial Network ◽

Image Quality Evaluation ◽

Adversarial Network ◽

Underwater Image

When underwater vehicles work, underwater images are often absorbed by light and scattered and diffused by floating objects, which leads to the degradation of underwater images. The generative adversarial network (GAN) is widely used in underwater image enhancement tasks because it can complete image-style conversions with high efficiency and high quality. Although the GAN converts low-quality underwater images into high-quality underwater images (truth images), the dataset of truth images also affects high-quality underwater images. However, an underwater truth image lacks underwater image enhancement, which leads to a poor effect of the generated image. Thus, this paper proposes to add the natural image quality evaluation (NIQE) index to the GAN to provide generated images with higher contrast and make them more in line with the perception of the human eye, and at the same time, grant generated images a better effect than the truth images set by the existing dataset. In this paper, several groups of experiments are compared, and through the subjective evaluation and objective evaluation indicators, it is verified that the enhanced image of this algorithm is better than the truth image set by the existing dataset.

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Ultrasound Practice Redesign to Improve Image Quality: Implementation of a Quality Control Sonographer

Journal of the American College of Radiology ◽

10.1016/j.jacr.2020.07.015 ◽

2020 ◽

Vol 17 (12) ◽

pp. 1644-1652

Author(s):

Melanie P. Caserta ◽

Stephanie L. Bonnett ◽

Melody C. La Valley ◽

Salvatore De Meo ◽

Andrew W. Bowman

Keyword(s):

Quality Control ◽

Image Quality ◽

Improve Image Quality ◽

Practice Redesign

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TABU PROGRAMMING: A NEW PROBLEM SOLVER THROUGH ADAPTIVE MEMORY PROGRAMMING OVER TREE DATA STRUCTURES

International Journal of Information Technology & Decision Making ◽

10.1142/s0219622011004373 ◽

2011 ◽

Vol 10 (02) ◽

pp. 373-406 ◽

Cited By ~ 5

Author(s):

ABDEL-RAHMAN HEDAR ◽

EMAD MABROUK ◽

MASAO FUKUSHIMA

Keyword(s):

Search Algorithm ◽

Benchmark Problems ◽

Problem Solver ◽

Learning Tools ◽

Mutation Operators ◽

Tree Data ◽

Tree Data Structure ◽

Comprehensive Framework ◽

Rate Of Success ◽

Crossover And Mutation

Since the first appearance of the Genetic Programming (GP) algorithm, extensive theoretical and application studies on it have been conducted. Nowadays, the GP algorithm is considered one of the most important tools in Artificial Intelligence (AI). Nevertheless, several questions have been raised about the complexity of the GP algorithm and the disruption effect of the crossover and mutation operators. In this paper, the Tabu Programming (TP) algorithm is proposed to employ the search strategy of the classical Tabu Search algorithm with the tree data structure. Moreover, the TP algorithm exploits a set of local search procedures over a tree space in order to mitigate the drawbacks of the crossover and mutation operators. Extensive numerical experiments are performed to study the performance of the proposed algorithm for a set of benchmark problems. The results of those experiments show that the TP algorithm compares favorably to recent versions of the GP algorithm in terms of computational efforts and the rate of success. Finally, we present a comprehensive framework called Meta-Heuristics Programming (MHP) as general machine learning tools.

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