A simple method for evaluating image quality of screen-film system using a high-performance digital camera

2009 ◽  
Author(s):  
Naotoshi Fujita ◽  
Asumi Yamazaki ◽  
Katsuhiro Ichikawa ◽  
Yoshie Kodera
Keyword(s):  
Image Quality ◽  
High Performance ◽  
Digital Camera ◽  
Film System ◽  
Simple Method

Colourlab Image Database: Geometric Distortions

2021 ◽  
Vol 2021 (29) ◽  
pp. 258-263
Author(s):  
Marius Pedersen ◽  
Seyed Ali Amirshahi
Keyword(s):  
Image Quality ◽  
High Performance ◽  
Image Database ◽  
Quality Metrics ◽  
Current Image ◽  
Geometric Distortions ◽  
Image Quality Metrics ◽  
Objective Metrics ◽  
Reference Images

Over the years, a high number of different objective image quality metrics have been proposed. While some image quality metrics show a high correlation with subjective scores provided in different datasets, there still exists room for improvement. Different studies have pointed to evaluating the quality of images affected by geometrical distortions as a challenge for current image quality metrics. In this work, we introduce the Colourlab Image Database: Geometric Distortions (CID:GD) with 49 different reference images made specifically to evaluate image quality metrics. CID:GD is one of the first datasets which include three different types of geometrical distortions; seam carving, lens distortion, and image rotation. 35 state-ofthe-art image quality metrics are tested on this dataset, showing that apart from a handful of these objective metrics, most are not able to show a high performance. The dataset is available at <ext-link ext-link-type="url" xlink:href="http://www.colourlab.no/cid">www.colourlab.no/cid</ext-link>.

COMPARISON OF THE IMAGE QUALITY OF A HIGH-RESOLUTION SCREEN-FILM SYSTEM AND A DIGITAL FLAT PANEL DETECTOR SYSTEM IN AVIAN RADIOGRAPHY

2011 ◽  
Vol 52 (3) ◽  
pp. 256-261 ◽  
Author(s):  
MONIKA BOCHMANN ◽  
EBERHARD LUDEWIG ◽  
MARIA-ELISABETH KRAUTWALD-JUNGHANNS ◽  
MICHAEL PEES
Keyword(s):  
High Resolution ◽  
Image Quality ◽  
Detector System ◽  
Film System ◽  
Flat Panel ◽  
Flat Panel Detector

scholarly journals Point Processing Method for Improving Dental Radiology Image Quality

2016 ◽  
Vol 6 (4) ◽  
pp. 1587
Author(s):  
Retno Supriyanti ◽  
Ariep Soelaiman Setiadi ◽  
Yogi Ramadhani ◽  
Haris Budi Widodo
Keyword(s):  
Developing Countries ◽  
Image Quality ◽  
High Performance ◽  
Processing Method ◽  
Second Opinion ◽  
Dental Radiology ◽  
Panoramic Image ◽  
Contrast Stretching ◽  
Radiology Image

Radiology field is very important in today's world, especially in the field of medicine including dentistry. Radiology equipment that is popular in dentistry is the panoramic machine. A panoramic image facilitate the dentist in making a diagnosis of the abnormality in the mouth and teeth. But unfortunately, for developing countries like Indonesia, panoramic machine available are low resolution which have an effect on the resulting image also has low quality. This research aims to improve the quality of the panoramic image to have a better quality. We use point processing method with emphasis on contrast stretching method. We chose this method because it is quite simple but has a high performance. Based on the second opinion from the hospital, the performance is 83.9%, therefore this method is promising to be implemented on the improvement of dental radiology images.

DIGITAL IMAGE QUALITY UNDER DIFFERENT LIGHT CONDITIONS RESEARCH

2020 ◽  
pp. 27-33
Author(s):  
D. V. Philippov ◽  
D. D. Rulev ◽  
I. N. Chursin
Keyword(s):  
Image Quality ◽  
Digital Image ◽  
Test Object ◽  
Digital Camera ◽  
Unmanned Aircraft ◽  
Entire Area ◽  
Spectral Profiles ◽  
White Sheet ◽  
Color Scales

The article is devoted to the study of digital image quality at different levels of daylight. The quality of the digital image was evaluated by the resolution and contrast of the image in three spectral zones: blue, green and red. The test object for photographing was a white sheet of 594X841mm format with line targets, color scales and an image of an optical step wedge located on it. Line targets were located over the entire area of the sheet, which made it possible to study the image quality over all its area. Digital photography was performed by a NIKON SLR camera and was accompanied by measurements of illumination in the plane of the test object with the measurement of the height of the sun by theodolite. The resolution of the digital camera was measured during the day interval from 3:00 to 22:00. For each hour of shooting resolution was determined by 9 line targets, 8 of which were located on the perimeter of the sheet and one in the center. Spectral profiles on color scales were also obtained for each ur, and the value of contrast on the image of the optical wedge was determined. As a result of the study, an effective daily interval was determined to perform digital shooting from unmanned aircraft for the Moscow region (55°45′07″ W).

scholarly journals Measuring the image quality of digital-camera sensors by a ping-pong ball

2014 ◽  
Author(s):  
Antonio M. Pozo ◽  
Manuel Rubiño ◽  
José J. Castro ◽  
Carlos Salas ◽  
Francisco Pérez-Ocón
Keyword(s):  
Image Quality ◽  
Digital Camera ◽  
Ping Pong ◽  
Camera Sensors ◽  
Ping Pong Ball

Point Processing Method for Improving Dental Radiology Image Quality

2016 ◽  
Vol 6 (4) ◽  
pp. 1587
Author(s):  
Retno Supriyanti ◽  
Ariep Soelaiman Setiadi ◽  
Yogi Ramadhani ◽  
Haris Budi Widodo
Keyword(s):  
Developing Countries ◽  
Image Quality ◽  
High Performance ◽  
Processing Method ◽  
Second Opinion ◽  
Dental Radiology ◽  
Panoramic Image ◽  
Contrast Stretching ◽  
Radiology Image

Radiology field is very important in today's world, especially in the field of medicine including dentistry. Radiology equipment that is popular in dentistry is the panoramic machine. A panoramic image facilitate the dentist in making a diagnosis of the abnormality in the mouth and teeth. But unfortunately, for developing countries like Indonesia, panoramic machine available are low resolution which have an effect on the resulting image also has low quality. This research aims to improve the quality of the panoramic image to have a better quality. We use point processing method with emphasis on contrast stretching method. We chose this method because it is quite simple but has a high performance. Based on the second opinion from the hospital, the performance is 83.9%, therefore this method is promising to be implemented on the improvement of dental radiology images.

Improving the image quality of elastic reverse-time migration in the dip-angle domain using deep learning

Geophysics ◽  
2020 ◽  
Vol 85 (5) ◽  
pp. S269-S283
Author(s):  
Yongming Lu ◽  
Hui Sun ◽  
Xiaoyi Wang ◽  
Qiancheng Liu ◽  
Hao Zhang
Keyword(s):  
Image Quality ◽  
High Performance ◽  
Reverse Time ◽  
Reverse Time Migration ◽  
Subsurface Structures ◽  
Time Migration ◽  
Automatic Picking ◽  
Physical Information ◽  
Dip Angle

Elastic reverse-time migration (ERTM) is becoming increasingly feasible with the development of high-performance computing. It can provide more physical information on subsurface structures. However, the crosstalk artifacts degrade the imaging resolution of ERTM. To obtain high-resolution ERTM imaging, we have developed additional constraints through a convolutional neural network (CNN) in the dip-angle domain. This procedure can significantly improve the image quality of ERTM by recognizing the dominant reflection events and rejecting the crosstalk artifacts in the dip-angle domain. This method can be divided into the following three steps. First, we generate the dip-angle gathers of ERTM using Poynting vectors shot by shot. Then, we stack all the dip-angle gathers over all the shots. Finally, we adopt the CNN to predict the dip-angle constraint, which can suppress the crosstalk artifacts and enhance the ERTM image quality. The picking method using CNN is an end-to-end procedure that can perform automatic picking without additional human intervention once the network is well-trained. The numerical examples have verified the potential of our method.

scholarly journals Assessing the Quality of Calyx of Physalis alkekengi L. var. franchetii Based on Quantitative Analysis of Q-Marker Combined with Chemometrics and Machine Learning Algorithms

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Meiqi Liu ◽  
Ziying Qiu ◽  
Xiaoran Zhao ◽  
Lili Sun ◽  
Lizhi Wang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Chinese Medicine ◽  
High Performance ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Machine Learning Algorithms ◽  
Simple Method ◽  
Quality Markers ◽  
Materials Used

Physalis alkekengi L. var. franchetii (PALF) is a traditional Chinese medicine, which is well known for its antimicrobial, anti-inflammatory, antipyretic, and expectorant properties. Its fruits and fruiting calyxes are used as dietary supplements and traditional herbs in China. However, the quality of calyxes is uneven, and it is prone to getting moldy or moth-eaten during storage. High-performance liquid chromatography (HPLC) fingerprints and multivariate chemometric methods were combined to evaluate quality, and three representative compounds were chosen as the quality markers (Q-markers). Hierarchical cluster analysis (HCA) and principal component analysis (PCA) provided a clear discrimination of PALF samples. Through further verification by partial least squares discriminant analysis (PLS-DA), backpropagation artificial neural network (BP-ANN), machine learning, and combination with the determination of the content, biology, and pharmacology effect judgment, galuteolin, rutin, and physalin O could be used as Q-markers that their contents affect the quality of PALF grade evaluation. A simple method was established to rapidly assess the quality of PALF that is important for its clinical application and storage and provide a reference for evaluating the quality of materials used in Chinese medicine.

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