scholarly journals Color Image Quality in Presentation Software

2008 ◽  
Vol 2008 ◽  
pp. 1-6 ◽  
Author(s):  
Edison Valencia ◽  
María S. Millán
Keyword(s):  
Image Quality ◽  
Digital Image ◽  
Color Image ◽  
Color Difference ◽  
Presentation Software ◽  
Quality Of Presentation

The color image quality of presentation programs is evaluated and measured using S-CIELAB and CIEDE2000 color difference formulae. A color digital image in its original format is compared with the same image already imported by the program and introduced as a part of a slide. Two widely used presentation programs—Microsoft PowerPoint 2004 for Mac and Apple's Keynote 3.0.2—are evaluated in this work.

scholarly journals Penapisan Derau Gaussian, Speckle dan Salt&Pepper Pada Citra Warna

2011 ◽  
Vol 5 (3) ◽  
pp. 29
Author(s):  
Ika Purwanti Ningrum ◽  
Agfianto Eko Putra ◽  
Dian Nursantika
Keyword(s):  
Image Quality ◽  
Digital Image ◽  
Color Image ◽  
Median Filter ◽  
Bilateral Filter ◽  
Filter Method ◽  
Noise Filtering ◽  
Original Image ◽  
Average Filter

Quality of digital image can decrease becouse some noises. Noise can come from lower quality of image recorder, disturb when transmission data process and weather. Noise filtering can make image better becouse will filtering that noise from the image and can improve quality of digital image. This research have aim to improve color image quality with filtering noise. Noise (Gaussian, Speckle, Salt&Pepper) will apply to original image, noise from image will filtering use Bilateral Filter method, Median Filter method and Average Filter method so can improve color image quality. To know how well this research do, we use PSNR (Peak Signal to Noise Ratio) criteria with compared original image and filtering image (image after using noise and filtering noise).This research result with noise filtering Gaussian (variance = 0.5), highest PSNR value found in the Bilateral Filter method is 27.69. Noise filtering Speckle (variance = 0.5), highest PSNR value found in the Average Filter method is 34.12. Noise filtering Salt&Pepper (variance = 0.5), highest PSNR value found in the Median Filter method is 31.27. Keywords— Bilateral Filter, image restoration, derau Gaussian, Speckle dan Salt&Pepper

scholarly journals Effects of Single and Blended Coating Pigments on the Inkjet Image Quality of Dye Sublimation Transfer Printed Paper: SiO2, CaCO3, Talc, and Sericite

2016 ◽  
Vol 2016 ◽  
pp. 1-10
Author(s):  
Chi-Ching Lin ◽  
Fu-Ling Chang ◽  
Yuan-Shing Perng ◽  
Shih-Tsung Yu
Keyword(s):  
Contact Angle ◽  
Image Quality ◽  
Color Image ◽  
Color Difference ◽  
Image Evaluation ◽  
Test Form ◽  
Coated Papers ◽  
Evaluation Test ◽  
Quality Ranking

In this study, we investigated the effects on the image quality of CaCO3, SiO2, talc, and sericite on coated inkjet paper. The papers serve as dye sublimation transfer paper for printing on fabrics. The brightness, smoothness, and contact angle of the coated papers were evaluated. The papers were then printed with a textile color image evaluation test form, and the imprinted images were evaluated with respect to six criteria of the solid ink density, tone value increase, print contrast, ink trapping, grayness, and hue error. The overall printed image quality was correlated with the smoothness and brightness of the coated paper but showed no correlation with the contact angle. For single-pigment-coated papers, CaCO3produced paper with the best color difference performance and could be substituted for silica. On the other hand, SiO2was found to be suitable for blending with talc, calcium carbonate, and sericite, and its combination with these materials generally produced better image qualities than silica alone. Talc and sericite, when blended with silica as composite coating pigments, produced better printed image qualities than those as single-pigment-coated papers. The overall image quality ranking suggests that the best performance was achieved with CaCO3-, SiO2/talc-, CaCO3/SiO2-, SiO2/sericite-, and SiO2-coated papers.

scholarly journals Digital imaging in pathology: the case for standardization

2005 ◽  
Vol 11 (3) ◽  
pp. 109-116 ◽  
Author(s):  
Yukako Yagi ◽  
John R Gilbertson
Keyword(s):  
Image Quality ◽  
Sample Preparation ◽  
Digital Image ◽  
Digital Imaging ◽  
Public Organization ◽  
Extensive Literature ◽  
Direct Examination ◽  
Transmission Of Information ◽  
Complete Process

The process of digital imaging in microscopy is a series of operations, each contributing to the quality of the final image that is displayed on the computer monitor. The operations include sample preparation and staining by histology, optical image formation by the microscope, digital image sampling by the camera sensor, postprocessing and compression, transmission across the network and display on the monitor. There is an extensive literature about digital imaging and each step of the process is fairly well understood. However, the complete process is very hard to standardize or even to understand fully. The important concepts for pathology imaging standards are: (1) systems should be able to share image files, (2) the standards should allow the transmission of information on baseline colours and recommended display parameters, (3) the images should be useful to the pathologist, not necessarily better or worse than direct examination of a slide under the microscope, (4) a mechanism to evaluate image quality objectively should be present, (5) a mechanism to adjust and correct the minor errors of tissue processing should be developed, (6) a public organization should support pathologists in the development of standards.

41.4: Subjective Image Quality of Viewing Angle beyond Color Difference Metric in FPD

2013 ◽  
Vol 44 (1) ◽  
pp. 574-577
Author(s):  
Chao-Hua Wen ◽  
Yan-Yu Lin ◽  
Pin-Chou Huang ◽  
Ting-Wei Hsu ◽  
Hsin-Hong Chen ◽  
...  
Keyword(s):  
Image Quality ◽  
Color Difference ◽  
Viewing Angle ◽  
Subjective Image Quality

scholarly journals Pengaruh Pencahayaan terhadap Kinerja Segmentasi

2014 ◽  
Vol 5 (1) ◽  
pp. 466
Author(s):  
Iman H. Kartowisatro
Keyword(s):  
Image Quality ◽  
Light Intensity ◽  
Digital Image ◽  
Segmentation Process ◽  
Reflection Of Light

 Light intensity may affect the image quality of an object that can cause barriers in doing preprocessing to improve the image quality of a digital image. Furthermore, this would also be an impact on subsequent processes, such as sorting images according to the needs. Light intensity influences the reflection of light which translates into an image. This gives an impact on successful segmentation process. Examples of the success and failure of segmentation are presented in this paper.

Typical errors when performing intraoral periapical x-rays, and their effect on image quality

2020 ◽  
pp. 36-44
Author(s):  
A.P. Arzhantsev
Keyword(s):  
Computed Tomography ◽  
Image Quality ◽  
Digital Image ◽  
Cone Beam ◽  
X Rays ◽  
Post Processing ◽  
X Ray ◽  
Selection Of ◽  
Periapical Radiography

During the study, intraoral periapical images were analyzed in 300 patients. The possibilities of using the methods of radiography and their influence on the quality of the obtained x-ray images were studied. The intraoral periapical radiography was compared with the results of orthopantomography and cone beam computed tomography. To identify the features of the mapping of zones of periapical destruction, 47 experimental x-ray studies were performed on skeletonized jaws with artificial defects in cortical plates. Often encountered errors are: an arbitrary choice of angles of inclination and the centration of the x-ray tube, the wrong location of the x-ray receiver in the patient's mouth, inaccurate installation or poor fixation of the patient's head, inefficient selection of physical and technical conditions of shooting, non-compliance with the conditions of the photo process with analog radiography or post-processing and printing digital image. The characteristic projection distortions of images resulting from these errors are analyzed and illustrated.

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 PENGUKURAN KUALITAS CITRA DIGITAL COMPUTED RADIOGRAPHY MENGGUNAKAN PROGRAM PENGOLAH CITRA

2016 ◽  
Vol 12 (2) ◽  
pp. 161-168 ◽  
Author(s):  
D. R. Ningtias ◽  
S. Suryono ◽  
S. Susilo
Keyword(s):  
Quality Control ◽  
Image Quality ◽  
Transfer Function ◽  
Spatial Resolution ◽  
Digital Image ◽  
Modulation Transfer Function ◽  
Computed Radiography ◽  
Modulation Transfer ◽  
Cr System

Penelitian yang telah dilakukan adalah pembuatan dan penghitungan kualitas citra digital menggunakan program Modulation Transfer Function (MTF) pada sistem Computed Radiography (CR) untuk kegiatan Quality Control (QC). MTF dapat digunakan untuk menganalisis resolusi spasial citra digital secara akurat. Pada penelitian ini menggunakan phantom yang terbuat dari tembaga berukuran 15x15 cm dengan ketebalan 1 mm. Phantom dieksposi dengan variasi tegangan 50 kV, 60 kV, 70 kV dan 81 kV dan masing-masing dilakukan variasi arus. Data yang diperoleh berupa file citra digital radiografi format DICOM yang kemudian dilakukan analisis kualitas citranya menggunakan PC diluar sistem CR dengan metode MTF. Metode ini sangat efisien dalam melakukan QC resolusi spasial secara kuantitatif sehingga dapat digunakan untuk menilai kualitas pesawat CR. Hasil pengukuran menunjukkan bahwa semakin tinggi tegangan yang digunakan, maka kualitas citra semakin baik dengan arus optimal pada rentang 4-8 mAs dengan rata-rata nilai resolusi spasial 7,26 lp/mm.The research was analyzing of digital image quality by using Modulation Transfer Function (MTF) on Computed Radiography (CR) system for Quality Control (QC). MTF can be used for analyzing digital image spatial resolution accurately. The research used phantom that made of 15x15 cm2 copper and 1 mm thickness. The phantom was expounded with voltage variations by 50 kV, 60 kV, 70 kV dan 81 kV and each of them have been taken by variations of the current. The the image quality of data obtained in the form of radiography digital image files with DICOM format were then analyzed using PC out of CR system with methode of MTF. This methode is really efficient for QC spatial resolution quantitatively and so it can be used for assesing the quality of CR. The measurement results showed that the higher the voltage, the better image quality with optimal current was on the range between 4-8 mAs with the average value of MTF 7,26 lp/mm.

Toward optimal color image quality of television display

1999 ◽  
Author(s):  
Lindsay W. MacDonald ◽  
Sergej N. Endrikhovski ◽  
Soren Bech ◽  
Kaj Jensen
Keyword(s):  
Image Quality ◽  
Color Image

scholarly journals Data Hiding Method for Color AMBTC Compressed Images Using Color Difference

2021 ◽  
Vol 11 (8) ◽  
pp. 3418
Author(s):  
Cheonshik Kim ◽  
Dongkyoo Shin ◽  
Chingnung Yang ◽  
Lu Leng
Keyword(s):  
Data Hiding ◽  
Copyright Protection ◽  
Color Image ◽  
Color Difference ◽  
Adjustment Process ◽  
Absolute Moment ◽  
Compressed Images ◽  
Secret Communication ◽  
Bit Plane

Image compression technology and copyright protection are certainly the important technologies for free exchange of multimedia. For compression of an image, we propose a color Absolute Moment Block Trucation Coding (AMBTC) method using a common bit-plane created by k-means. In addition, a data hiding method based on a color AMBTC using Optimal Pixel Adjustment Process (OPAP) was proposed for copyright protection and confidential secret communication. The number of quantization levels of the proposed color AMBTC is nine per block. Therefore, the edge of the compressed color image can be expressed more delicately. As a result of the simulation, it can be seen that the edge of the image of the color AMBTC is close to the original image. Moreover, the data hiding performance of the proposed method also obtained excellent results. For the experiment, we measured the quality of the image using the Color Difference (CD) we proposed, and the measurement result was very satisfactory.

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