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[PDF] Top 20 Fooling an Automatic Image Quality Estimator

Has 10000 "Fooling an Automatic Image Quality Estimator" found on our website. Below are the top 20 most common "Fooling an Automatic Image Quality Estimator".

Fooling an Automatic Image Quality Estimator

Fooling an Automatic Image Quality Estimator

... whose quality is ...the quality of an ...whose quality was labeled based on the perceived quality of the media ...the automatic quality assessment [6]. We chose an ... Voir le document complet

4

Optimization of the pediatric head computed tomography scan image quality: reducing dose with an automatic tube potential selection in infants

Optimization of the pediatric head computed tomography scan image quality: reducing dose with an automatic tube potential selection in infants

... of an automatic tube potential selection can also allow having only one pediatric head CT scan protocol, which is easier to use in daily practice, whereas having different CT scan protocols depending on the ... Voir le document complet

15

Low dose x-ray image processing : Joint denoising and contrast enhancement, and automatic detection of anatomical landmarks for image quality estimation

Low dose x-ray image processing : Joint denoising and contrast enhancement, and automatic detection of anatomical landmarks for image quality estimation

... X-ray image processing this approach is often preferred to deal with ...While an overestimation of noise would cause a reduction of visibility of anatomical structures, an underes- timation would ... Voir le document complet

230

Assessing microscope image focus quality with deep learning

Assessing microscope image focus quality with deep learning

... area, image focus quality, is particularly challenging to identify in microscopy ...focus image given a focal z-stack of multiple images of the same sample has been previously ...given image ... Voir le document complet

10

Software Tools Dedicated for an Automatic Analysis of the CT Scanner Quality Control's Images

Software Tools Dedicated for an Automatic Analysis of the CT Scanner Quality Control's Images

... 7. An outline representing the process of calculating LAP phantom ...2.3.2 Image quality control Image analysis and quantization are done by calculating the mean (M) and the standard deviation ... Voir le document complet

14

CrohnIPI: An endoscopic image database for the evaluation of automatic Crohn's disease lesions recognition algorithms

CrohnIPI: An endoscopic image database for the evaluation of automatic Crohn's disease lesions recognition algorithms

... 4. CONCLUSION We provide a dataset with 3498 WCE images independently reviewed by several gastroenterologist experts. 60.55% are non pathological, 38.85% present at least one of 7 different type of CD lesions. We chose ... Voir le document complet

8

Numerical 3D models used for an evaluation of software tools dedicated to an automatic quality control of EPID images

Numerical 3D models used for an evaluation of software tools dedicated to an automatic quality control of EPID images

... The physical test object proposed by PTW 11 is used for EPID images quality control. This phantom covers all essential quality parameters in one image. It allows evaluating geometric distortions, ... Voir le document complet

5

Automatic assessment of mammographic images : positioning and quality assessment

Automatic assessment of mammographic images : positioning and quality assessment

... RetinaNet is one of the best one-stage object detection models that has proven to work well with dense and small scale objects, making it suitable for the nipple detection task on a mammogram, especially for denser ... Voir le document complet

70

Evaluation of two Software Tools Dedicated for an Automatic Analysis of the CT Scanner Image Spatial Resolution

Evaluation of two Software Tools Dedicated for an Automatic Analysis of the CT Scanner Image Spatial Resolution

... performing an automatic CT image quality ...complete automatic quality control for the on-board imaging system installed on the new linear accelerator used for radiation therapy ... Voir le document complet

5

Does where you Gaze on an Image Affect your Perception of Quality? Applying Visual Attention to Image Quality Metric

Does where you Gaze on an Image Affect your Perception of Quality? Applying Visual Attention to Image Quality Metric

... of an objective image quality assessment is to find an automatic algorithm that evaluates the quality of pictures or video as a human observer would ...in image ... Voir le document complet

5

The SNCD as a Metrics for Image Quality Assessment

The SNCD as a Metrics for Image Quality Assessment

... the image resolution; the quality of the images become very important for different application, and the development tool to quality assessment is a current ...of image quality, ... Voir le document complet

9

Power-Aware HEVC Decoding with Tunable Image Quality

Power-Aware HEVC Decoding with Tunable Image Quality

... the quality is allowed to be ...maximum quality distortion is set to the one from ...reference image is sent periodically and all other frames are deduced from each other with the inter-frame ... Voir le document complet

7

D-JNDQ: LEARNING IMAGE QUALITY FROM JUST NOTICEABLE DIFFERENCES

D-JNDQ: LEARNING IMAGE QUALITY FROM JUST NOTICEABLE DIFFERENCES

... use an ex- isting Optical and Retinal Pathway model to pre-process in- put images, ...provides an estimation of the achromatic responses for displayed ... Voir le document complet

6

What is ... an automatic sequence?

What is ... an automatic sequence?

... . which happens to consist of prefixes of the Thue–Morse sequence. In the limit, we obtain the Thue–Morse sequence itself, which is a fixed point of this morphism. Indeed, any morphism on a finite alphabet, where the ... Voir le document complet

3

Automatic graphene transfer system for improved material quality and efficiency

Automatic graphene transfer system for improved material quality and efficiency

... In Fig. 2 the series of steps in the automatic transfer process are detailed. After placing the graphene sample inside the tube (Fig. 2a) the temperature is raised to 60 °C and a 30 minute timer starts (Fig. 2b). ... Voir le document complet

9

An automatic news article editor

An automatic news article editor

... The four major modules are the main module, the parse module, the reconstruct module and the table module... Its function is to open the input directory and pass [r] ... Voir le document complet

50

Automatic Class-Specific 3D Reconstruction from a Single Image

Automatic Class-Specific 3D Reconstruction from a Single Image

... {chiu,lpk,tlp}@csail.mit.edu Abstract Our goal is to automatically reconstruct 3D objects from a single image, by using prior 3D shape models of classes. The shape models, defined as a collection of oriented prim- ... Voir le document complet

11

Quality Assessment of Deep-Learning-Based Image Compression

Quality Assessment of Deep-Learning-Based Image Compression

... learning-based image compression algorithms, comparing them to JPEG 2000 and to the recent BPG image codec based on HEVC ...visual quality of deep-learning-based methods, as their artifacts have ... Voir le document complet

7

Automatic Guided Vehicles: Robust Controller Design in Image Space

Automatic Guided Vehicles: Robust Controller Design in Image Space

... Keywords: visual servoing, robust control, mobile robot, vehicles, modeling, vision 1. Introduction In the realm of intelligent systems for highways, de- velopment of AGV is necessary to enable vehicles to drive ... Voir le document complet

19

Comparison of Image Quality Assessment Algorithms on Compressed Images

Comparison of Image Quality Assessment Algorithms on Compressed Images

... Charrier et al. 2 recently applied a novel psychophysical method, Maximum Likelihood Difference Scaling (MLDS) 3, 4 that circumvents the limitations inherent to subjective rating methods. MLDS allows us to quantify ... Voir le document complet

12

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