Understanding Image Representation in Computer Systems

The video tutorial explains how images are represented and stored in computer systems using binary. It covers two main methods: bitmap and vector. Bitmap images are made of pixels, each with a binary value, while vector images store mathematical instructions to draw shapes. The video focuses on bitmap images, detailing how they are stored in binary, the role of metadata, and the impact of color depth on file size. It also discusses 24-bit color representation and the use of hexadecimal for easier human interpretation.

What are the two main ways of storing images in a computer system?

• Bitmap and Vector

• Vector and Raster

• Bitmap and Raster

• Pixel and Vector

In a bitmap image, what is each colored square called?

• Pixel

• Coordinate

• Bit

• Vector

What binary value is typically assigned to the color black in a simple black and white bitmap image?

• 10

• 0

• 11

• 1

What is the term for additional data stored alongside an image to define its width, height, color depth, and color palette?

• Metadata

• Binary Data

• Pixel Data

• Vector Data

How many colors can be represented using 2-bit color depth?

• 16

• 8

• 4

• 2

What is the color depth used in modern photographs?

• 24-bit

• 16-bit

• 8-bit

• 32-bit

How many colors can be represented with 24-bit color depth?

• 16,000

• 16 million

• 256

• 1 million

What is the hexadecimal representation used for in 24-bit color images?

• To simplify binary representation for humans

• To increase the number of colors

• To reduce file size

• To enhance image quality

What is the relationship between color depth and file size?

• Higher color depth increases file size

• File size is only affected by image resolution

• Higher color depth decreases file size

• Color depth does not affect file size

What is the formula to calculate the number of colors that can be represented by a given number of bits?

• 2^n

• n^2

• 2+n

• n*2