CSA301 Deep Learning Unit I

What does the RGB color space use to represent a pixel?

What color does the combination of Red and Green produce in the RGB color space?

In an RGB image, what value range can each color channel have?

What shape does a multi-dimensional array formed by the RGB image follow?

Where does the coordinate (0, 0) correspond in an image?

What is the significance of Python being zero-indexed concerning image coordinates?

What is one of the main purposes of image processing?

What does D represent in the multi-dimensional array formed by an RGB image?

What is the primary function of a pixel in an image?

How many total pixels are there in an image that has a resolution of 400 by 300?

Which of the following describes a grayscale image?

Which color channels are typically used in a color image?

What does a higher number of pixels generally indicate about an image?

In a 2D image coordinate system, what do the rows represent?

Which statement is true regarding image formation from channels?

What happens to the number of shades represented in a grayscale image when the pixel value approaches 255?

Images are 2-D representations of the visible light spectrum, formed by pixels.
Humans convert light into electrical signals; computers use binary data (0s and 1s) to represent images.

Pixels are the smallest unit of information in an image, arranged in a 2D grid.
Each pixel corresponds to a specific color or intensity of light at a certain location.
The resolution (e.g., 300 x 200) signifies total pixels (60,000 in this case).
Images can be grayscale (single channel) or color (typically RGB with three channels: red, green, blue).

Grayscale pixels are scalar values ranging from 0 (black) to 255 (white).
Intermediate values represent various shades of gray, with lower values indicating darker tones.

Each pixel in color images is defined by three values: Red, Green, and Blue.
RGB values range from 0 (no representation) to 255 (full representation).
Examples of color mixing in RGB:
- Red + Green = Yellow (255, 255, 0)
- Red + Blue = Pink (255, 0, 255)

An RGB image consists of three matrices representing the red, green, and blue components.
The structure of an RGB image is a multi-dimensional array with dimensions Width (W) x Height (H) x Depth (D), where D = 3.

The coordinate system starts at (0, 0) for the top-left pixel; for example, (7, 7) denotes the bottom-right corner.
Python zero-indexing necessitates counting from zero.

Image processing manipulates images to enhance quality or extract valuable information.
This is a crucial step in designing effective image classifiers.