Audio bit depth refers to the number of bits used to represent each audio sample, directly impacting the dynamic range and noise floor of a recording. Higher bit depths allow for more precise audio fidelity, reducing distortion and enriching the clarity of sound.
Low Dynamic Range (LDR) Imaging is a technique that captures images with a limited range of brightness levels, typically within the capabilities of standard digital displays and print media. It is commonly used in situations where the lighting contrast is not extreme, allowing for straightforward processing and display without the need for advanced tone mapping techniques.
Quantization noise is the error introduced when mapping a large set of input values to a smaller set, such as in digital signal processing where continuous signals are converted to discrete digital values. This noise is inherent in the quantization process and can affect the accuracy and quality of digital representations of analog signals.
Grayscale imaging is a method of capturing and displaying images in shades of gray, varying from black at the weakest intensity to white at the strongest. It is widely used in various fields such as medical imaging, photography, and computer vision due to its simplicity and efficiency in processing and analyzing visual information without the complexity of color data.
Digital image representation refers to the process of encoding visual information into a format that can be stored and manipulated by computers. It involves the use of pixels arranged in a grid, with each pixel assigned a color value, often represented in formats such as RGB or grayscale, enabling digital devices to display and process images effectively.