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Статті в журналах з теми "YCbCr etc"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

Zena, Ahmed Alwan, Mohammed Farhan Hamid, and Qays Mahdi Siraj. "Color image steganography in YCbCr space." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 1 (2020): 202–9. https://doi.org/10.11591/ijece.v10i1.pp202-209.

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Анотація:

Steganography is a best method for in secret communicating information during the transference of data. Images are an appropriate method that used in steganography can be used to protection the simple bits and pieces. Several systems, this one as color scale images steganography and grayscale images steganography, are used on color and store data in different techniques. These color images can have very big amounts of secret data, by using three main color modules. The different color modules, such as HSV-(hue, saturation, and value), RGB-(red, green, and blue), YCbCr-(luminance and chrominanc

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2

Alwan, Zena Ahmed, Hamid Mohammed Farhan, and Siraj Qays Mahdi. "Color image steganography in YCbCr space." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 1 (2020): 202. http://dx.doi.org/10.11591/ijece.v10i1.pp202-209.

Повний текст джерела

Анотація:

Steganography is a best method for in secret communicating information during the transference of data. Images are an appropriate method that used in steganography can be used to protection the simple bits and pieces. Several systems, this one as color scale images steganography and grayscale images steganography, are used on color and store data in different techniques. These color images can have very big amounts of secret data, by using three main color modules. The different color modules, such as  HSV-(hue, saturation, and value), RGB-(red, green, and blue),  YCbCr-(luminance

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3

Naval, Solanki* Mrs. Jyoti Pipariya. "ANALYSIS OF WAVELETS USED IN COMPRESSED SENSING FOR IMAGE COMPRESSION." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 11 (2017): 467–72. https://doi.org/10.5281/zenodo.1066212.

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Анотація:

Wavelet analysis has engrossed more researchers in the field because of its analyzing ability for fastly solving and altering transient signals. Wavelet investigates its capability to analyze locally i.e. localized area can be analyzed for any larger signal. Wavelet analysis is can reveal data aspects which other techniques for image analysis may fail to notice aspects such as tendency, discontinuities of higher derivatives, breakdown points, and self-similarity.   Wavelet Theory has significance in image analysis, signal processing, transient signal analysis, communication systems. Also

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4

Namrata, Dave. "A LIP LOCALIZATION BASED VISUAL FEATURE EXTRACTION METHOD." Electrical & Computer Engineering: An International Journal (ECIJ) 4, no. 4 (2015): 23–28. https://doi.org/10.5281/zenodo.3621225.

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Анотація:

This paper presents a lip localization based visual feature extraction method to segment lip region from image or video in real time. Lip localization and tracking is useful in many applications such as lip reading, lip synchronization, visual speech recognition, facial animation etc. To synchronize lip movements with input audio we need to first segment lip region from input image or video frame. This paper presents a novel color based approach for localization of lips, which is an early stage for tracking lips in real time. A phoneme is a basic unit of speech and a viseme is a visual represe

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5

SHIH, PEICHUNG, and CHENGJUN LIU. "COMPARATIVE ASSESSMENT OF CONTENT-BASED FACE IMAGE RETRIEVAL IN DIFFERENT COLOR SPACES." International Journal of Pattern Recognition and Artificial Intelligence 19, no. 07 (2005): 873–93. http://dx.doi.org/10.1142/s0218001405004381.

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Content-based face image retrieval is concerned with computer retrieval of face images (of a given subject) based on the geometric or statistical features automatically derived from these images. It is well known that color spaces provide powerful information for image indexing and retrieval by means of color invariants, color histogram, color texture, etc. This paper assesses comparatively the performance of content-based face image retrieval in different color spaces using a standard algorithm, the Principal Component Analysis (PCA), which has become a popular algorithm in the face recogniti

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6

Mirjalili, Fereshteh, and Jon Yngve Hardeberg. "On the Quantification of Visual Texture Complexity." Journal of Imaging 8, no. 9 (2022): 248. http://dx.doi.org/10.3390/jimaging8090248.

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Анотація:

Complexity is one of the major attributes of the visual perception of texture. However, very little is known about how humans visually interpret texture complexity. A psychophysical experiment was conducted to visually quantify the seven texture attributes of a series of textile fabrics: complexity, color variation, randomness, strongness, regularity, repetitiveness, and homogeneity. It was found that the observers could discriminate between the textures with low and high complexity using some high-level visual cues such as randomness, color variation, strongness, etc. The results of principal

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7

Aydin, Yildiz. "A Comparative Analysis of Skin Cancer Detection Applications Using Histogram-Based Local Descriptors." Diagnostics 13, no. 19 (2023): 3142. http://dx.doi.org/10.3390/diagnostics13193142.

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Анотація:

Among the most serious types of cancer is skin cancer. Despite the risk of death, when caught early, the rate of survival is greater than 95%. This inspires researchers to explore methods that allow for the early detection of skin cancer that could save millions of lives. The ability to detect the early signs of skin cancer has become more urgent in light of the rising number of illnesses, the high death rate, and costly healthcare treatments. Given the gravity of these issues, experts have created a number of existing approaches for detecting skin cancer. Identifying skin cancer and whether i

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8

Sirichotedumrong, Warit, and Hitoshi Kiya. "Grayscale-based block scrambling image encryption using YCbCr color space for encryption-then-compression systems." APSIPA Transactions on Signal and Information Processing 8 (2019). http://dx.doi.org/10.1017/atsip.2018.33.

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Анотація:

AbstractA novel grayscale-based block scrambling image encryption scheme is presented not only to enhance security, but also to improve the compression performance for Encryption-then-Compression (EtC) systems with JPEG compression, which are used to securely transmit images through an untrusted channel provider. The proposed scheme enables the use of a smaller block size and a larger number of blocks than the color-based image encryption scheme. Images encrypted using the proposed scheme include less color information due to the use of grayscale images even when the original image has three c

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9

Nayak, Sasmita Kumari, and Jharna Majumdar. "Hybrid Method of Video Shot Segmentation Based on YCbCr Space Color Model." Journal of Engineering Research and Reports, July 30, 2021, 8–17. http://dx.doi.org/10.9734/jerr/2021/v20i1117399.

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Анотація:

In this digital world, Video analysis is the most important and useful task. Currently, tremendous tasks have been done in video analysis like compressing the videos, video retrieval process and video database indexing, etc. For all these tasks, one common step is segmenting the video shots, which are referred to as Video Shots Segmentation (VSS). Video shots segmentation is used to segment the input videos into a number of frames sequentially where the scene changes occurred, i.e. called shots. In this article, segmenting the video shots follows a hybrid procedure. Here, we have introduced th

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10

Upendra Raju, K., and N. Amutha Prabha. "Dual images in reversible data hiding with adaptive color space variation using wavelet transforms." International Journal of Intelligent Unmanned Systems, November 26, 2021. http://dx.doi.org/10.1108/ijius-08-2021-0095.

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Анотація:

Purpose Steganography is a data hiding technique used in the data security. while transmission of data through channel, no guarantee that the data is transmitted safely or not. Variety of data security techniques exists such as patch work, low bit rate data hiding, lossy compression etc. This paper aims to increase the security and robustness. Design/methodology/approach This paper describes, an approach for multiple images steganography that is oriented on the combination of lifting wavelet transform (LWT) and discrete cosine transform (DCT). Here, we have one cover image and two secret image

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11

Ansari, Mohd Aquib, and Dushyant Kumar Singh. "Significance of Color Spaces & their Selection for Image Processing: A Survey." Recent Advances in Computer Science and Communications 14 (March 8, 2021). http://dx.doi.org/10.2174/2666255814666210308152108.

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: The human visual system is encompassed with three components that help to produce a color sensation. The color display devices use this concept and create their full range of colors by incorporating all three primary color components. Any displayable color can be created with the help of these primaries. This paper comprises the concept of color space, which helps to understand a particular device’s color proficiencies. Since colors are a more robust descriptor, color spaces are considered to play a significant role in representing an image appropriately. The performance of many algorithms d

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12

Namrata, Dave. "A LIP LOCALIZATION BASED VISUAL FEATURE EXTRACTION METHOD." December 30, 2015. https://doi.org/10.5281/zenodo.1215314.

Повний текст джерела

Анотація:

This paper presents a lip localization based visual feature extraction method to segment lip region from image or video in real time. Lip localization and tracking is useful in many applications such as lip reading, lip synchronization, visual speech recognition, facial animation etc. To synchronize lip movements with input audio we need to first segment lip region from input image or video frame. This paper presents a novel color based approach for localization of lips, which is an early stage for tracking lips in real time. A phoneme is a basic unit of speech and a viseme is a visual represe

Стилі APA, Harvard, Vancouver, ISO та ін.

13

Namrata, Dave. "A LIP LOCALIZATION BASED VISUAL FEATURE EXTRACTION METHOD." December 30, 2015. https://doi.org/10.5281/zenodo.1237356.

Повний текст джерела

Анотація:

This paper presents a lip localization based visual feature extraction method to segment lip region from image or video in real time. Lip localization and tracking is useful in many applications such as lip reading, lip synchronization, visual speech recognition, facial  nimation etc. To synchronize lip movements with input audio we need to first segment lip region from input image or video frame. This paper presents a novel color based approach for localization of lips, which is an early stage for tracking lips in real time. A phoneme is a basic unit of speech and a viseme is a visual re

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14

Hyun-Koo, Kim, H. Park Ju, and Jung Ho-Youl. "Effective Traffic Lights Recognition Method for Real Time Driving Assistance Systemin the Daytime." International Journal of Electrical, Electronic and Communication Sciences 4.0, no. 11 (2011). https://doi.org/10.5281/zenodo.1328958.

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This paper presents an effective traffic lights recognition method at the daytime. First, Potential Traffic Lights Detector (PTLD) use whole color source of YCbCr channel image and make each binary image of green and red traffic lights. After PTLD step, Shape Filter (SF) use to remove noise such as traffic sign, street tree, vehicle, and building. At this time, noise removal properties consist of information of blobs of binary image; length, area, area of boundary box, etc. Finally, after an intermediate association step witch goal is to define relevant candidates region from the previously de

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15

Likhitha Reddy, Julakanti, Bhavya Mallela, Lakshmi Lavanya Bannaravuri, and Kotha Mohan Krishna. "Hand Gesture Recognition Using PCA, KNN and SVM." International Journal of Scientific Research in Computer Science, Engineering and Information Technology, March 8, 2019, 547–50. http://dx.doi.org/10.32628/cseit1952100.

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Анотація:

To interact with world using expressions or body movements is comparatively effective than just speaking. Gesture recognition can be a better way to convey meaningful information. Communication through gestures has been widely used by humans to express their thoughts and feelings. Gestures can be performed with any body part like head, face, hands and arms but most predominantly hand is use to perform gestures, Hand Gesture Recognition have been widely accepted for numerous applications such as human computer interactions, robotics, sign language recognition, etc. This paper focuses on bare ha

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16

"American Sign Language to Text - Speech using Background Subtraction using Running Averages." International Journal of Engineering and Advanced Technology 9, no. 2 (2019): 2150–56. http://dx.doi.org/10.35940/ijeat.b3621.129219.

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This Paper Proposes A System Which Converts American Sign Language Hand Gestures Into Text Cum Speech And Helps To Bridge The Communication Gap Between DeafMute People And Rest Of The Society. Any System For This Purpose Generally Has Four Modules: Segmentation, Feature Extraction, Classification And Text-To-Speech. This Paper Focuses On An Improved Method For The Segmentation And The Feature Extraction Processes To Get More Better Resultswhile Using The Standard Techniques On The Other Two Modules. Proposed Algorithm Captures Initial 30 Frames Of The Live Video From The Web Cam Of The System

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17

Tarek, M. Mahmoud. "A New Fast Skin Color Detection Technique." July 24, 2008. https://doi.org/10.5281/zenodo.1083241.

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Анотація:

Skin color can provide a useful and robust cue for human-related image analysis, such as face detection, pornographic image filtering, hand detection and tracking, people retrieval in databases and Internet, etc. The major problem of such kinds of skin color detection algorithms is that it is time consuming and hence cannot be applied to a real time system. To overcome this problem, we introduce a new fast technique for skin detection which can be applied in a real time system. In this technique, instead of testing each image pixel to label it as skin or non-skin (as in classic techniques), we

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18

K., Thulasimani, and G. Srinivasagan K. "Driver Fatigue State Recognition with Pixel Based Caveat Scheme Using Eye-Tracking." June 3, 2015. https://doi.org/10.5281/zenodo.1107053.

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Анотація:

Driver fatigue is an important factor in the increasing number of road accidents. Dynamic template matching method was proposed to address the problem of real-time driver fatigue detection system based on eye-tracking. An effective vision based approach was used to analyze the driver's eye state to detect fatigue. The driver fatigue system consists of Face detection, Eye detection, Eye tracking, and Fatigue detection. Initially frames are captured from a color video in a car dashboard and transformed from RGB into YCbCr color space to detect the driver's face. Canny edge operator was used to e

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