- Pixatool 1 54 – Create 8bit Pixel Style Images Photography Pictures
- Pixatool 1 54 – Create 8bit Pixel Style Images Photography Video
- Pixatool 1 54 – Create 8bit Pixel Style Images Photography Images
Scaling and Cropping Images and Stacks
What if these images were too large to work with, either for you or for your students? What could you do? Two common solutions are scaling the images down and cropping them to a smaller size.
Scaling, Interpolation, and Spatial Calibration
Scaling is the process of making an image larger (scale > 1.0) or smaller (scale interpolation.
Without going into the detailed mathematics of the different interpolation methods, you do need to know that the Interpolation method (bilinear, bicubic, or none) is most important if you're scaling images up to a larger size (scale > 1), but usually won't make much difference when you're scaling down, especially at 'even' scales like 25% or 50%. Bilinear interpolation is generally faster, while bicubic interpolation is more complex and takes a bit longer. This is not an issue with today's powerful computers.
The method performs text chunking using word 3-grams and probabilis-tically selects a subset of chunks for computing a digital. Repair pdf file online. Online file repair service for PDF. Repair PDF 1.2, PDF 1.3, PDF 1.4, PDF 1.5, PDF 1.6. Free and Paid Online PDF Repair Tool. Repair PDF online. Do-it-yourself recovery of PDF files. @mattdm About the second comment: any ISO value is determined by stretching the signal output to fill up the 0-255 in the image values (on an 8-bit image). The image overexposes when the sensor reports a value that would, with current settings, stretch over that range. For instance 280. This value is then clipped to 255 and information is lost. Cat Goomba (Super Mario Bros 1 NES-Style) Cats SM3W X BF (SMB1 NES Style) Enemies; Mario (Flicky-Style) Mario, Luigi, Toad & Toadette (SMB3,SML1/2 Power-Ups) (SMW-Style) Mario, Luigi, Wario, & Waluigi (PICO-8 Style) NES Trilogy Playable Characters (Pico-8 Style) Save Slot Font (Super Mario World, Expanded) Super Mario Adventures Enemies (SMW Style).
To compare interpolation methods, you will crop out a small image of the crater, then scale it up by a factor of 10 using each method.
- Stack the seven Landsat band images. If necessary, set the spatial scale of the image to 30m/pixel.
- Activate the stack window, locate the crater, and zoom in until the crater fills most of the window.
- Use the rectangular selection tool to select a 60 x 60 pixel square centered on the crater. The selection size appears in the image status bar as you make the selection. Since the scale is set at 30m per pixel, 60 pixels equals 60 x 30 = 1800 meters. (Tip: To select a perfect square centered on the crater, hold down Command-Shift (Mac) or Control-Shift (PC), click at the center of the crater, and drag outward.)
- Create a new image of just the selected pixels by choosing Image > Duplicate. Since you're working on a stack, you have the option to duplicate the entire stack or just the current slice. Go ahead and duplicate the whole stack. You should now have a small window containing a 60 x 60 pixel stack.
- Activate the small stack window. Choose Image > Scale and scale the stack by a factor of 10 but without interpolation using the following settings:
- Activate the small stack again, choose Image > Scale and scale the stack by a factor of 10 using bilinear interpolation using the following settings:
- Activate the small stack again, choose Image > Scale and scale the stack by a factor of 10 using bilinear interpolation using the following settings:
- Compare the three scaled images. Which one looks like giant pixels? Which one looks smoothest?
- How did the spatial calibration (scale) handle the scaling process? Using any of the three 10x scaled images you made, measure the east-west distance across the crater. What diameter do you get, in meters? How does this compare to the original image?
- The moral of this story? When you scale images up or down in ImageJ, the spatial calibration is NOT preserved! However, as long as you know how you scaled the image, you can use that information to modify the spatial calibration. In this case, we scaled the image UP by a factor of 10. To get the new spatial calibration, divide the old spatial scale (30 meters/pixel) by the scaling factor you used (10.0). What is the new image scale? The new spatial calibration is 30/10 or 3 meters/pixel.
Scaling is the process of making an image larger (scale > 1.0) or smaller (scale interpolation.
Without going into the detailed mathematics of the different interpolation methods, you do need to know that the Interpolation method (bilinear, bicubic, or none) is most important if you're scaling images up to a larger size (scale > 1), but usually won't make much difference when you're scaling down, especially at 'even' scales like 25% or 50%. Bilinear interpolation is generally faster, while bicubic interpolation is more complex and takes a bit longer. This is not an issue with today's powerful computers.
The method performs text chunking using word 3-grams and probabilis-tically selects a subset of chunks for computing a digital. Repair pdf file online. Online file repair service for PDF. Repair PDF 1.2, PDF 1.3, PDF 1.4, PDF 1.5, PDF 1.6. Free and Paid Online PDF Repair Tool. Repair PDF online. Do-it-yourself recovery of PDF files. @mattdm About the second comment: any ISO value is determined by stretching the signal output to fill up the 0-255 in the image values (on an 8-bit image). The image overexposes when the sensor reports a value that would, with current settings, stretch over that range. For instance 280. This value is then clipped to 255 and information is lost. Cat Goomba (Super Mario Bros 1 NES-Style) Cats SM3W X BF (SMB1 NES Style) Enemies; Mario (Flicky-Style) Mario, Luigi, Toad & Toadette (SMB3,SML1/2 Power-Ups) (SMW-Style) Mario, Luigi, Wario, & Waluigi (PICO-8 Style) NES Trilogy Playable Characters (Pico-8 Style) Save Slot Font (Super Mario World, Expanded) Super Mario Adventures Enemies (SMW Style).
To compare interpolation methods, you will crop out a small image of the crater, then scale it up by a factor of 10 using each method.
- Stack the seven Landsat band images. If necessary, set the spatial scale of the image to 30m/pixel.
- Activate the stack window, locate the crater, and zoom in until the crater fills most of the window.
- Use the rectangular selection tool to select a 60 x 60 pixel square centered on the crater. The selection size appears in the image status bar as you make the selection. Since the scale is set at 30m per pixel, 60 pixels equals 60 x 30 = 1800 meters. (Tip: To select a perfect square centered on the crater, hold down Command-Shift (Mac) or Control-Shift (PC), click at the center of the crater, and drag outward.)
- Create a new image of just the selected pixels by choosing Image > Duplicate. Since you're working on a stack, you have the option to duplicate the entire stack or just the current slice. Go ahead and duplicate the whole stack. You should now have a small window containing a 60 x 60 pixel stack.
- Activate the small stack window. Choose Image > Scale and scale the stack by a factor of 10 but without interpolation using the following settings:
- Activate the small stack again, choose Image > Scale and scale the stack by a factor of 10 using bilinear interpolation using the following settings:
- Activate the small stack again, choose Image > Scale and scale the stack by a factor of 10 using bilinear interpolation using the following settings:
- Compare the three scaled images. Which one looks like giant pixels? Which one looks smoothest?
- How did the spatial calibration (scale) handle the scaling process? Using any of the three 10x scaled images you made, measure the east-west distance across the crater. What diameter do you get, in meters? How does this compare to the original image?
- The moral of this story? When you scale images up or down in ImageJ, the spatial calibration is NOT preserved! However, as long as you know how you scaled the image, you can use that information to modify the spatial calibration. In this case, we scaled the image UP by a factor of 10. To get the new spatial calibration, divide the old spatial scale (30 meters/pixel) by the scaling factor you used (10.0). What is the new image scale? The new spatial calibration is 30/10 or 3 meters/pixel.
Convert image base64 using this tool to base64 encode images for use in html, css, javascript, etc
Convert image base64 encoder
Base64 Image Converter BETA
- Reverse Base64
- Optionally optimize the images first (including animated gif/png)
- Instructions for optimal caching and use, which is so essential.
- Favicons, Javascript Caching, Mobile/Game Console/Tablet Info
- Upload/Get a css file and automatically convert all the background-images in it to base64
- Support many additional formats, including audio/video/text/etc
- Conversion from one image format to another pre-base64
- Multiple Uploads/Gets, Better Preview Options, Re-sizing
- Image conversion for use in emails (non-remote, so no warning)
Base64 Image Data URL Scheme
Some applications that use URLs also have a need to embed (small) media type data directly inline. This document defines a new URL scheme that would work like 'immediate addressing'. The URLs are of the form: data:[][;base64],
The is an Internet media type specification (with optional parameters.) The appearance of '
;base64
' means that the data is encoded as base64. Without ';base64
', the data (as a sequence of octets) is represented using ASCII encoding for octets inside the range of safe URL characters and using the standard %xx
hex encoding of URLs for octets outside that range. If is omitted, it defaults to
text/plain;charset=US-ASCII
. As a shorthand, 'text/plain
' can be omitted but the charset parameter supplied.
The 'data:
' URL scheme is only useful for short values. Note that some applications that use URLs may impose a length limit; for example, URLs embedded within anchors in HTML have a length limit determined by the SGML declaration for HTML [RFC1866]. The LITLEN (1024) limits the number of characters which can appear in a single attribute value literal, the ATTSPLEN (2100) limits the sum of all lengths of all attribute value specifications which appear in a tag, and the TAGLEN (2100) limits the overall length of a tag.
Data URL Scheme Syntax
SVN to base64
Pixatool 1 54 – Create 8bit Pixel Style Images Photography Pictures
Yes this tool can convert svn to base64
Mobile Web Application Best Practices
Include Background Images Inline in CSS Style Sheets
Background images can be encoded using the data URI scheme: url('data:image/png;base64, [data])
[ CSS ] Requires: RFC2397 data uri support.
Data URI scheme
Web browser support
As of March 2012, Data URIs are supported by the following web browsers:
- Gecko-based, such as Firefox, SeaMonkey, XeroBank, Camino, Fennec and K-Meleon
- Konqueror, via KDE's KIO slaves input/output system
- Opera (including devices such as the Nintendo DSi or Wii)
- WebKit-based, such as Safari (including iOS), Android's browser, Kindle 4's browser, Epiphany and Midori (WebKit is a derivative of Konqueror's KHTML engine, but Mac OS X does not share the KIO architecture so the implementations are different), and Webkit/Chromium-based, such as Chrome
- Trident
- Internet Explorer 8: Microsoft has limited its support to certain 'non-navigable' content for security reasons, including concerns that JavaScript embedded in a data URI may not be interpretable by script filters such as those used by web-based email clients. Data URIs must be smaller than 32 KB in Version 8.[3] Data URIs are supported only for the following elements and/or attributes:[4]
object
(images only)img
input type=image
link
(data URI must be base64 encoded)- CSS declarations that accept a URL, such as
background-image
,background
,list-style-type
,list-style
and similar.
- Internet Explorer 9: Internet Explorer 9 does not have 32KB limitation and allowed in broader elements.
- Internet Explorer 8: Microsoft has limited its support to certain 'non-navigable' content for security reasons, including concerns that JavaScript embedded in a data URI may not be interpretable by script filters such as those used by web-based email clients. Data URIs must be smaller than 32 KB in Version 8.[3] Data URIs are supported only for the following elements and/or attributes:[4]
Advantages
- HTTP request and header traffic is not required for embedded data, so data URIs consume less bandwidth whenever the overhead of encoding the inline content as a data URI is smaller than the HTTP overhead. For example, the required base64 encoding for an image 600 bytes long would be 800 bytes, so if an HTTP request required more than 200 bytes of overhead, the data URI would be more efficient.
- For transferring many small files (less than a few kilobytes each), this can be faster. TCP transfers tend to start slowly. If each file requires a new TCP connection, the transfer speed is limited by the round-trip time rather than the available bandwidth. Using HTTP keep-alive improves the situation, but may not entirely alleviate the bottleneck.
- When browsing a secure HTTPS web site, web browsers commonly require that all elements of a web page be downloaded over secure connections, or the user will be notified of reduced security due to a mixture of secure and insecure elements. On badly configured servers, HTTPS requests have significant overhead over common HTTP requests, so embedding data in data URIs may improve speed in this case.
- Web browsers are usually configured to make only a certain number of (often two) concurrent HTTP connections to a domain,[5] so inline data frees up a download connection for other content.
- Environments with limited or restricted access to external resources may embed content when it is disallowed or impractical to reference it externally. For example, an advanced HTML editing field could accept a pasted or inserted image and convert it to a data URI to hide the complexity of external resources from the user. Alternatively, a browser can convert (encode) image based data from the clipboard to a data URI and paste it in a HTML editing field. Mozilla Firefox 4 supports this functionality.
- It is possible to manage a multimedia page as a single file.
- Email message templates can contain images (for backgrounds or signatures) without the image appearing to be an 'attachment'.
Disadvantages
- Data URIs are not separately cached from their containing documents (e.g. CSS or HTML files) so data are downloaded every time the containing documents are redownloaded.
- Content must be re-encoded and re-embedded every time a change is made.
- Internet Explorer through version 7 (approximately 5% of web traffic as of September 2011), lacks support. However this can be overcome by serving browser specific content.[6]
- Internet Explorer 8 limits data URIs to a maximum length of 32 KB. (Internet Explorer 9 does not have this limitation)[3][4]
- In IE 8 and 9 data URIs can only be used for images, but not for navigation or Javascript generated file downloads.[7]
- Data are included as a simple stream, and many processing environments (such as web browsers) may not support using containers (such as
multipart/alternative
ormessage/rfc822
) to provide greater complexity such as metadata, data compression, or content negotiation. - Base64-encoded data URIs are 1/3 larger in size than their binary equivalent. (However, this overhead is reduced to 2-3% if the HTTP server compresses the response using gzip)[8]
- Data URIs do not carry a filename as a normal linked file would. When saving, a default filename for the specified MIME type is generally used.
- Referencing the same resource (such as an embedded small image) more than once from the same document results in multiple copies of the embedded resource. In comparison, an external resource can be referenced arbitrarily many times, yet downloaded and decoded only once.
- Data URIs make it more difficult for security software to filter content.[9]
Format
What tools does Smush.it use to smush images?
These are the algorithms currently in use:
- ImageMagick: to identify the image type and to convert GIF files to PNG files.
- pngcrush: to strip unneeded chunks from PNGs. We are also experimenting with other PNG reduction tools such as pngout, optipng, pngrewrite. Hopefully these tools will provide improved optimization of PNG files.
- jpegtran: to strip all metadata from JPEGs (currently disabled) and try progressive JPEGs.
- gifsicle: to optimize GIF animations by stripping repeating pixels in different frames.
Pixatool 1 54 – Create 8bit Pixel Style Images Photography Video
More Info and Resources
The Base 64 Alphabet
RFC's
- RFC 1866 - Hypertext Markup Language - 2.0
- RFC 2045 - Multipurpose Internet Mail Extensions (MIME) Part One: Format of Internet Message Bodies
- RFC 2046 - Definition of media types
- RFC 2077 - Model top-level media type
- RFC 2396 - Uniform Resource Identifiers (URI): Generic Syntax
- RFC 2397 - The 'data' URL scheme
- RFC 3023 - Media types based on XML
- RFC 4648 - The Base16, Base32, and Base64 Data Encodings
- RFC 6657 - Update to MIME regarding 'charset' Parameter Handling in Textual Media Types
- RFC 5988 - Web Linking
W3 / IANA Docs
Microsoft Developers
Mozilla Developer Docs
Type image
image/gif
- GIF image; Defined in RFC 2045 and RFC 2046
image/jpeg
- JPEG JFIF image; Defined in RFC 2045 and RFC 2046
image/pjpeg
- JPEG JFIF image; Associated with Internet Explorer; Listed in ms775147(v=vs.85) - Progressive JPEG, initiated before global browser support for progressive JPEGs (Microsoft and Firefox).
image/png
- Portable Network Graphics; Registered, Defined in RFC 2083
image/svg+xml
- SVG vector image; Defined in SVG Tiny 1.2 Specification Appendix M
image/tiff
- Tag Image File Format (only for Baseline TIFF); Defined in RFC 3302
image/vnd.microsoft.icon
- ICO image; Registered
Misc
- DataURL.net: Your one-stop HTML5 spot for all things Data URL
- php: data://
- getID3: PHP script that extracts useful information from MP3s & other multimedia file formats:
Pixatool 1 54 – Create 8bit Pixel Style Images Photography Images
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