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Introduction to Advanced Digital Image Processing
Published in Ankur Dumka, Alaknanda Ashok, Parag Verma, Poonam Verma, Advanced Digital Image Processing and Its Applications in Big Data, 2020
Ankur Dumka, Alaknanda Ashok, Parag Verma, Poonam Verma
24-bit color format is also known as true color format. Like 16-bit color format, in a 24-bit color format, the 24 bits are again distributed in three different formats of red, green, and blue. Since 24 bits are equally divided on 8, they have been distributed equally between three different color channels. Their distributions are as follows:8 bits for R (red),8 bits for G (green),8 bits for B (blue).
A First Windows Program
Published in Julio Sanchez, Maria P. Canton, Software Solutions for Engineers and Scientists, 2018
Julio Sanchez, Maria P. Canton
The Developer Studio main screen is configurable by the user. Furthermore, the size of its display areas is determined by the system resolution. For this reason, it is impossible to depict a Developer Studio screen display that matches the one that every user will see. In the illustrations and screen snapshots throughout this book we have used a resolution of 1152-by-854 pixels in 16-bit color with large fonts. However, our screen format may not exactly match yours. Figure 19.4, on the following page, shows a full screen display of Developer Studio with the file Prog_zero.cpp loaded in the Editor area.
The Day the Music Died
Published in Ted G. Lewis, The Signal, 2019
FFT conversion followed by quantization is quick enough that the same idea used in JPEG can be used in video, but with some enhancements to accommodate frame-to-frame changes in moving pictures. After all, a video is simply consecutive still images, whereby the next frame is a modification of the current frame. But the required bandwidth is much greater, so we have to be even more ingenious. For example, a video containing 1920 × 1080 pixels, refreshed 24 times per second, in 16-bit color consumes 796 Mb/s of bandwidth. High-definition TV (HDTV) consumes twice this amount!
A survey on vision guided robotic systems with intelligent control strategies for autonomous tasks
Published in Cogent Engineering, 2022
Abhilasha Singh, V. Kalaichelvi, R. Karthikeyan
In the case of binary images, it has two-pixel elements 0 and 1 where 0 refers to black and 1 refers to white. In 8-bit format, images are also called the grayscale image has 256 colors where 0 stands for Black, 255 stands for white, and 127 stands for gray. Finally, the 16-bit color format also called RGB format has 65,536 different colors in it which are divided into three channels namely Red, Green, and Blue (Jackson, 2016). Based on these image formats, there are different image processing techniques to extract the useful features and prepare the datasets suitable to the algorithm so that robots are not distorted. The common process flow of data processing to extract the features from the image acquired from the vision sensor is shown in Figure 8. The process involves image acquisition from a vision sensor followed by an image preprocessing step where the images are scaled, rotated, binarized, and segmented to extract the useful features (Patel & Bhavsar, 2021; Premebida et al., 2018). Once the preprocessing is done, the datasets can be used for any kind of applications like object tracking, motion estimation, object recognition and so on (Garibotto et al., 2013; Song et al., 2018). Though the process sounds simple there are a lot of factors that affect the processing stage. The most common factors are high illumination and noise in images. Also with high-resolution cameras, large datasets need a lot of memory and powerful processing devices. Working with large videos poses serious problems where better encryption and compression techniques are needed. To address these issues, still many research works are being conducted.