The influences of color space in the process of resolution enhancement for digital images

2019 ◽  
Author(s):  
Rui Gong ◽  
Xingliang Wang ◽  
Qing Wang
Keyword(s):  
Digital Images ◽  
Resolution Enhancement ◽  
Color Space

The Research of the Digital Image-Processing of Colorful Painting

2014 ◽  
Vol 926-930 ◽  
pp. 3709-3712
Author(s):  
Yun Zhan ◽  
Jie Lei
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Images ◽  
Color Space ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Practical Application ◽  
Digital Image Processing Technique ◽  
Basic Concepts

The research of the digital image-processing of colorful painting is mainly to aim at the objective circumstances between the digital image and drawing flat vision distortion. This paper is based on the basic concepts of the digital image-processing technique. It expounds digital images advantage, collect, characteristics, recognition and the choice of the color space, the practical application of the digital image in the painting area in sequence. Through the study, we found computer has powerful ability to analyze management in the colorful painting field.

scholarly journals Evaluación de la descomposición de imágenes digitales, para la estimación indirecta de la turbidez en muestras de agua de cuerpos naturales

Bionatura ◽  
2019 ◽  
Vol 4 (2) ◽  
pp. 861-871
Keyword(s):  
Digital Images ◽  
San Antonio ◽  
Color Space ◽  
Correlation Equation ◽  
Research Use ◽  
Digital Cameras ◽  
Single Lens ◽  
Rgb Color Space ◽  
San Carlos ◽  
Analyze Data

Digital cameras offer the possibility to capture and analyze data in a simple and affordable way, allowing quick and in some cases on-site shots of the study object. This research use a DSLR (Digital Single Lens Reflex for its acronym in English) and a CCD (Charged coupled device for its acronym in English) to capture digital images analyzed under two methodologies using a MATLAB script, water samples Obtained from two areas of Antioquia Colombia, and three water bodies: rio San Carlos and brook San Antonio in San Carlos (Ant), in addition to brook La Marinilla in Marinilla (Ant). In addition to the foregoing, two capture environments were built to capture digital images and two trials in order to establish a correlation equation between the data obtained in light intensity and turbidity (NTU). Finding that there is a correlation between turbidity and the intensity of light extracted from digital images with R ² = 0.97428 for the first trial, and above 0.9 for the G-channel in the RGB color space.

scholarly journals A NOVEL FACE DETECTION AND TRACKING ALGORITHM IN REAL- TIME VIDEO SEQUENCES

2013 ◽  
pp. 25-29
Author(s):  
NAGAPRIYA KAMATH K ◽  
ASHWINI HOLLA ◽  
SUBRAMANYA BHAT
Keyword(s):  
Face Detection ◽  
Skin Color ◽  
Template Matching ◽  
Digital Images ◽  
Color Space ◽  
Color Model ◽  
Hsv Color Space ◽  
Detection And Tracking ◽  
Skin Color Model ◽  
Human Faces

Face detection is a image processing technology that determines the location and size of human faces in digital images or video. This module precedes face recognition systems that plays an important role in applications such as video surveillance, human computer interaction and so on. This proposed work focuses mainly on multiple face detection technique, taking into account the variations in digital images or video such as face pose, appearances and illumination. The work is based on skin color model in YCbCr and HSV color space. First stage of this proposed method is to develop a skin color model and then applying the skin color segmentation in order to specify all skin regions in an image. Secondly, a template matching is done to assure that the segmented image does not contain any non-facial part. This algorithm works to be robust and efficient.

Using Unmanned Aerial Vehicle to Obtain Digital Images and Estimating In-Situ Soil Water Content

2020 ◽  
Author(s):  
Ching-Hsiung Wang ◽  
Hong-Ru Lin ◽  
Jyun-Lin Chen ◽  
Shao-Yang Huang ◽  
Jet-Chau Wen
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Digital Images ◽  
Color Space ◽  
Gravimetric Method ◽  
Time Domain Reflectometry ◽  
Soil Samples ◽  
Cost Efficient ◽  
Space Data

<p>Soil water content (SWC) is a vital factor for soil sciences. Nowadays, there are many methods for estimating SWC, including the Time-domain reflectometry (TDR) and the Gravimetric method. Nevertheless, most of them may cause damages to soil structure and require a large workforce and resources. The optical method is a non-destructive and cost-efficient; therefore, recommended for SWC estimations.</p><p>This study analyses soil samples at the field site, as well as it uses aerial photo-shooting to obtain the digital image distribution of surface soil. Both soil samples and digital images were categorized into groups; 9 in total, depending on time parameters (one group equals one day). More specifically, the gravimetric method was selected for the SWC measurements in the laboratory, while the images were modified in such a way so to match the CIE 1931 XYZ color space resolution for further calculations. Then, comparing the CIE 1931 XYZ color space data with the Soil Water Content correlation of 9 groups by validation.</p><p>According to the findings, the sensitivity of CIE 1931 XYZ color space in SWC alternations is high. Additionally, it can be observed that the SWC result data of the model are similar to the SWC measurements; therefore, the CIE 1931 XYZ color space can be applied to agriculture and disaster prevention, and it is a cost-efficient method for SMC estimations, and it can provide several benefits.</p>

scholarly journals Color Measurement of Segmented Printed Fabric Patterns in Lab Color Space from RGB Digital Images

2019 ◽  
Vol 05 (01) ◽  
pp. 1-18 ◽  
Author(s):  
Charles Kumah ◽  
Ning Zhang ◽  
Rafiu King Raji ◽  
Ruru Pan
Keyword(s):  
Digital Images ◽  
Color Space ◽  
Color Measurement ◽  
Lab Color Space
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