A binary image is one that consists of pixels that can have one of exactly two colors, usually black and white. Binary images are also called bi-level or two-level, Pixelart made of two colours is often referred to as 1-Bit or 1bit. This means that each pixel is stored as a single bit—i.e., a 0 or 1. The names black-and-white, B&W, monochrome or monochromatic are often used for this concept, but may also designate any images that have only one sample per pixel, such as grayscale images. In Photoshop parlance, a binary image is the same as an image in "Bitmap" mode. Binary images often arise in digital image processing as masks or thresholding, and dithering. Some input/output devices, such as laser printers, fax machines, and bilevel computer displays, can only handle bilevel images. A binary image can be stored in memory as a bitmap, a packed array of bits. A 640×480 image requires 37.5 KiB of storage. Because of the small size of the image files, fax machine and document management solutions usually use this format. Most binary images also compress well with simple run-length compression schemes. Binary images can be interpreted as subsets of the two-dimensional integer lattice Z2; the field of morphological image processing was largely inspired by this view. (Wikipedia).
Binary 2 - Two's Complement Representation of Negative Numbers
This is the second in a series of computer science videos about the binary number system which is fundamental to the operation of a digital electronic computer. It covers the two's complement system of representing positive and negative integers in binary. It demonstrates how two's comple
From playlist Binary
Binary 3 – Fixed Point Binary Fractions
This is the third in a series of videos about the binary number system which is fundamental to the operation of a digital electronic computer. It covers the representation of real numbers in binary using a fixed size, fixed point, register. It explains with examples how to convert both po
From playlist Binary
Associative Binary Operations and Examples Video
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Associative Binary Operations and Examples Video. This is video 2 on Binary Operations.
From playlist Abstract Algebra
Binary Tree 1. Constructing a tree (algorithm and pseudocode)
This is the first in a series of videos about binary trees. It is an explanation of the dynamic data structure known as the Binary Tree. It describes the way in which a binary tree is constructed, and how it can be represented numerically using a system of left and right pointers. This v
From playlist Data Structures
Binary 4 – Floating Point Binary Fractions 1
This is the fourth in a series of videos about the binary number system which is fundamental to the operation of a digital electronic computer. In particular, this video covers the representation of real numbers using floating point binary notation. It begins with a description of standard
From playlist Binary
Check if a binary tree is binary search tree or not
See complete series on data structures here: http://www.youtube.com/playlist?list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P In this lesson, we have written a program in C/C++ to verify whether a given binary tree is binary search tree or not. For practice problems and more, visit: http://www.m
From playlist Data structures
Data structures: Binary Search Tree
See complete series on data structures here: http://www.youtube.com/playlist?list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P In this lesson, we have discussed binary search tree data structure. Binary search is an efficient data structure in which we can store data to get search, insertion and de
From playlist Data structures
See complete series on data structures here: http://www.youtube.com/playlist?list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P In this lesson, we have discussed binary tree in detail. We have talked about different types of binary tree like "complete binary tree", "perfect binary tree" and "balance
From playlist Data structures
Binary 8 – Floating Point Binary Subtraction
This is the eighth in a series of videos about the binary number system which is fundamental to the operation of a digital electronic computer. In particular, this video covers subtraction of floating point binary numbers for a given sized mantissa and exponent, both in two’s complement.
From playlist Binary
Lecture 15E : Learning binary codes for image retrieval
Neural Networks for Machine Learning by Geoffrey Hinton [Coursera 2013] Lecture 15E : Learning binary codes for image retrieval
From playlist Neural Networks for Machine Learning by Professor Geoffrey Hinton [Complete]
Lecture 15.5 — Learning binary codes for image retrieval [Neural Networks for Machine Learning]
Lecture from the course Neural Networks for Machine Learning, as taught by Geoffrey Hinton (University of Toronto) on Coursera in 2012. Link to the course (login required): https://class.coursera.org/neuralnets-2012-001
From playlist [Coursera] Neural Networks for Machine Learning — Geoffrey Hinton
DEFCON 20: Embedded Device Firmware Vulnerability Hunting Using FRAK
Speaker: ANG CUI RED BALLOON SECURITY We present FRAK, the firmware reverse analysis konsole. FRAK is a framework for unpacking, analyzing, modifying and repacking the firmware images of proprietary embedded devices. The FRAK framework provides a programmatic environment for the analysis
From playlist DEFCON 20
Lecture 15/16 : Modeling hierarchical structure with neural nets
Neural Networks for Machine Learning by Geoffrey Hinton [Coursera 2013] 15A From Principal Components Analysis to Autoencoders 15B Deep Autoencoders 15C Deep autoencoders for document retrieval and visualization 15D Semantic hashing 15E Learning binary codes for image retrieval 15F Shallo
From playlist Neural Networks for Machine Learning by Professor Geoffrey Hinton [Complete]
Jerome Darbon - Algorithms for Non-Local Filtering; application CryoElectron & biological microscopy
Recorded 15 September 2022. Jerome Darbon of Brown University presents "Efficient algorithms for Non-Local Filtering and applications to Cryo-Electron microscopy and biological microscopy" at IPAM's Computational Microscopy Tutorials. Abstract: We present fast and scalable algorithms for n
From playlist Tutorials: Computational Microscopy 2022
Discrete Structures: Binary and Other Numbers Bases to Represent Data
In this video we'll learn about the base-2 number system, called binary. We'll learn how to convert numbers to and from binary. Then we'll extend our knowledge to other number bases, such as hexadecimal, base 32, and base 64. Finally we'll end with a discussion of how data is represented a
From playlist Discrete Structures, Spring 2022
Binary and Multiple Stars: Crash Course Astronomy #34
Double stars are stars that appear to be near each other in the sky, but if they’re gravitationally bound together we call them binary stars. Many stars are actually part of binary or multiple systems. If they are close enough together they can actually touch other, merging into one peanut
From playlist Astronomy
256 - Super resolution GAN (SRGAN) in keras
Code generated in the video can be downloaded from here: https://github.com/bnsreenu/python_for_microscopists Original paper: https://arxiv.org/pdf/1609.04802.pdf Dataset from: http://press.liacs.nl/mirflickr/mirdownload.html All images resized to 128x128 to represent HR and 32
From playlist Generative Adversarial Networks
Don't Twinkle, Little Star - R. Jensen-Clem - 5/9/2017
Everhart Lecture Series Rebecca Jensen-Clem, Graduate Student, Department of Astronomy, Caltech The Everhart Lecture Series is a forum encouraging interdisciplinary interaction among graduate students and faculty, the sharing of ideas about research developments, as well as a space to dis
From playlist Everhart Lecture Series
1. Unsigned Binary Numbers - How to Convert From Unsigned Binary Numbers to Whole Numbers
This tutorial shows how to convert from an unsigned binary number to a whole number. Join this channel to get access to perks: https://www.youtube.com/channel/UCn2SbZWi4yTkmPUj5wnbfoA/join :)
From playlist Binary Numbers