This computer science problem involves algorithmic thinking and programming concepts. The solution below explains the approach, logic, and implementation step by step.
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multipleQuestions newQuestion a Explain the term pixel. newAnswer A pixel is the smallest individual unit of a digital image or graphic that can be displayed on a digital screen, typically represented as a tiny square of color. newQuestion b Explain the term colour depth. newAnswer Colour depth refers to the number of bits used to represent the color of a single pixel in an image, determining the total number of distinct colors that can be displayed. newQuestion c Calculate how many of these images could be stored on a 32-GiB memory stick. newAnswer 9302 images Steps: 1. Calculate the total number of pixels per image: 1140 pixels × 1080 pixels = 1,231,200 pixels 2. Calculate the size of one image in bits: 1,231,200 pixels × 24 bits/pixel = 29,548,800 bits 3. Convert the image size from bits to bytes: 29,548,800 bits / 8 bits/byte = 3,693,600 bytes 4. Convert the memory stick capacity from GiB to bytes: 32 GiB × 1024 MiB/GiB × 1024 KiB/MiB × 1024 bytes/KiB = 34,359,738,368 bytes 5. Calculate the number of images that can be stored: 34,359,738,368 bytes / 3,693,600 bytes/image ≈ 9302.32 images Since only whole images can be stored, round down to 9302 images. newQuestion d Describe how it would be possible to increase the number of these images which could be stored on this memory stick. newAnswer To increase the number of images stored, you could: 1. Reduce the image resolution: Decrease the number of pixels (e.g., from 1140x1080 to a lower resolution). 2. Reduce the colour depth: Use fewer bits per pixel (e.g., from 24 bits to 16 bits or 8 bits), which would reduce the range of available colors. 3. Compress the images: Apply image compression techniques (e.g., using formats like JPEG for lossy compression or PNG for lossless compression) to reduce file size.