733667-001-011-0114
AI Summary
This document provides a technical overview of raster image characteristics, focusing on spatial resolution and signal resolution in the context of digitizing cultural heritage materials.
Key Findings
- Spatial resolution defines the amount of information in a raster image file based on pixel density. - Higher spatial resolution results in more pixels and generally better detail, but quality also depends on the scanner's performance. - Signal resolution (bit-depth) determines the number of shades/colors in an image, with 8-bit providing 256 shades and 16-bit offering over 65,000 shades. - The choice of resolution affects file size and detail retention during image processing.
OCR Text
Federal Agencies Digitization Initiative Still Image Working Group — August 2010 ll. § TECHNICAL OVERVIEW Raster Image Characteristics Spatial Resolution Spatial resolution determines the amount of information in a raster image file in terms of the number of picture elements or pixels per unit of measurement, but it does not define or guarantee the quality of the information. Spatial resolution defines how finely or widely spaced the individual pixels are from each other. The higher the spatial resolution, the more finely spaced and the higher the number of pixels overall. The lower the spatial resolution, the more widely spaced and the fewer the number of pixels overall. Spatial resolution is measured as pixels per inch or PPI; pixels per millimeter or pixels per centimeter are also used. Resolution is often referred to as dots per inch or DPI. In common usage, the terms PPI and DPI are used interchangeably. Since raster image files are composed of pixels, technically PPI is a more accurate term and is used in this document (one example in support of using the PPI term is that Adobe Photoshop software uses the pixels per inch terminology). DPI is the appropriate term for describing printer resolution (actual dots vs. pixels); however, DPI is used often in scanning and image processing software to refer to spatial resolution and this usage is an understandable convention. The spatial resolution and the image dimensions determine the total number of pixels in the image; an 8”x10” photograph scanned at 100 ppi produces an image that has 800 pixels by 1000 pixels or a total of 800,000 pixels. The numbers of rows and columns of pixels, or the height and width of the image in pixels as described in the previous sentence, is known as the pixel array. When specifying a desired file size, it is always necessary to provide both the resolution and the image dimensions; ex. 300 ppi at 8°x10” or even 300 ppi at original size. The image file size, in terms of data storage, is proportional to the spatial resolution (the higher the resolution, the larger the file size for a set document size) and to the size of the document being scanned (the larger the document, the larger the file size for a set spatial resolution). Increasing resolution increases the total number of pixels, resulting in a larger image file. Scanning larger documents produces more pixels resulting in larger image files. Higher spatial resolution provides more pixels, and generally will render more fine detail of the original in the digital image, but not always. The actual rendition of fine detail is more dependent on the spatial frequency response SFR) of the scanner or digital camera (see Quantifying Scanner/Digital Camera Performance below), the image processing applied, and the characteristics of the item being scanned. Also, depending on the intended usage of the master files, there may be a practical limit to how much fine detail is actually needed. Signal Resolution Bit-depth or signal resolution, sometimes called tonal resolution, defines the maximum number of shades and/or colors in a digital image file, but does not define or guarantee the quality of the information. In a |-bit file each pixel is represented by a single binary digit (either a 0 or 1), so the pixel can be either black or white. There are only two possible combinations or 2' = 2. The common standard for grayscale and color images 1s to use 8-bits (eight binary digits representing each pixel) of data per channel and this provides a maximum of 256 shades per channel ranging from black to white; 28 = 256 possible combinations of zeroes and ones. High-bit or 16-bits (16 binary digits representing each pixel) per channel images can have a greater number of shades compared to 8-bit per channel images, a maximum of over 65,000 shades vs. 256 shades; 21° - 65,536 possible combinations of zeroes and ones. Well done 8-bits per channel imaging will meet most needs - with a limited ability for major corrections, transformations, and re-purposing. Gross corrections of 8-bit per channel images may cause shades to drop out of the image, creating a posterization effect due to the limited number of shades. High-bit images can match the effective shading and density range of photographic originals (assuming the scanner is actually able to capture the information), and, due to the greater shading (compared to 8-bits per channel), may be beneficial when re-purposing images and when working with images that need major or excessive adjustments to the tone distribution and/or color balance. However, at this time, monitors for viewing images and output devices for Technical Guidelines for Digitizing Cultural Heritage Materials: Creation of Raster Image Master Files 4
Metadata
- Agency
- —
- Classification
- UNCLASSIFIED
- Department
- National Archives and Records Administration
- Catalog source
- View NARA catalog record
NARA Source
- NAID
- 733667
- File
- 733667-001-011-0114.jpg
- Type
- image/jpeg
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