Understanding Bitmap Images

The video tutorial explains bitmap images, focusing on pixel representation, resolution, and color depth. It discusses how image quality is influenced by pixel density and color depth, with examples of monochrome and color images. The tutorial also covers metadata in image files, highlighting how additional data like camera settings and software information can affect file size.

What is a bitmap image primarily composed of?

• Pixels

• Vectors

• Layers

• Filters

How is a black pixel represented in a monochrome bitmap image?

• 8

• 1

• 2

• 0

What does a higher resolution in an image imply?

• Larger file size

• Better image quality

• Faster processing

• More colors

How many bits are used to describe the color of each pixel in an 8-bit color image?

• 8 bits

• 1 bit

• 24 bits

• 16 bits

What is the memory requirement for a 100x100 pixel monochrome image?

• 80,000 bits

• 10,000 bits

• 256 bits

• 1,024 bits

How many colors can a 24-bit color image represent?

• 32 colors

• 10 million colors

• 16.7 million colors

• 256 colors

What is the approximate memory size of a 960x640 pixel image with 24-bit color depth?

• 1.76 MB

• 2.5 MB

• 1.24 MB

• 0.5 MB

What is the term for data about data, such as information stored with an image file?

• Infodata

• Datapack

• Megadata

• Metadata

What additional information might be included in an image file besides pixel data?

• Text documents

• Camera settings

• Audio tracks

• Video clips

What is the purpose of the extra 8 bits in a 32-bit color image?

• To increase resolution

• To add sound

• To control transparency

• To enhance color depth