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Posts Tagged ‘photography’
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February 23, 2022Photography Pricing Guide – How much do Photographers make in 2021
November 27, 2021https://www.pixpa.com/blog/photography-pricing-guide
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Rates Based on Level of Experience
Experience is a significant factor in deciding how much does a photographer makes. Photography prices are typically based on the level of knowledge and experience, as indicated below.
Amateurs and Hobbyists – Amateurs and hobbyists commonly charge $25-$75 an hour for images normally used on blogs, small websites, or for local advertising. The fee is generally under $100. However, they may not follow standard photography practices and have other lines of work.
Student Photographers – Students typically have more experience than amateurs and hobbyists in that they’ve received some form of training. Their typical hourly rate is $50 – $100 per hour. Prices of student photographers can vary based several factors – the school that they are studying in, the stage of their education, whether they have worked with and assisted other professional photographers, and, last but not least, their photography portfolio. Students with brilliant student photography portfolios can command the same rates as professional photographers.
Entry-Level Photographers – The entry-level or semi-professional photographers charge $50-$150 per hour or $25-$125 per image. They’re not as committed and often have other lines of work that they rely on.
Professional Photographers with experience – Professional, experienced photographers usually charge $75 – $250 per hour or per image. They rely solely on their photography work to make a living and typically have invested a lot in their equipment, and have more experience in both the pre-production and post-production stages of photography.
Top Professional Photographers – Top professional photographers, known as high-end photographers, charge $250 – $500 per hour or $200 -$1200 per image. This elite group of photographers command top dollar for their work and can even be paid up to $10,000 per day depending on their area of specialty. They cover areas such as sports, fashion, entertainment, film, documentaries for TV, movies, billboards or magazines.
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Batch-convert iPhone HEIC photos to JPEG format – CNET
November 14, 2021Seeing around corners: How to decipher shadows to see the invisible | New Scientist
December 26, 2019Photopea and Polarr- browser based editors
August 6, 2019The browser-based photoshop editor…is
(It’s more like a lite version of photoshop with all the functionality an amateur might ever use. Accepts photoshop, GIMP, etc. file formats in addition to other standard file formats.)
For a web-based Lightroom alternative – https://v2.polarr.co/#.
Batch-convert iPhone HEIC photos to JPEG format – CNET
August 4, 2019Photo Renaming Options in Lightroom – Lightroom Killer Tips
December 31, 2018Imaging Without Lenses
February 3, 2018Imaging Without Lenses
https://www.AmericanScientist.org/article/imaging-without-lenses Computational #photography w. compressive sensing (reconstruction from arbitrary image bases) & diffractive imaging (forming an image via scattering from gratings) via @AmSciMag
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Computational Imaging
As its name suggests, the key advance in this new paradigm is the essential role played by computation in the formation of the final digital image. …
When the orbiting Hubble Space Telescope first sent its photos to Earth in the late 1980s, the images were far blurrier than expected; it quickly became apparent that something was wrong with the telescope optics. NASA scientists diagnosed the optical problems and, in the years before the unmanned telescope could be repaired, designed sophisticated digital processing algorithms to correct the images by compensating for many of the effects of flawed optics.
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In the mid-1990s, W. Thomas Cathey and Edward R. Dowski, Jr., realized that one could go further still: One could intentionally design optics to produce blurry, “degraded” optical images, but degraded in such a way that special digital processing would produce a final digital image as good as, or even better than, those captured using
traditional optics
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Diffraction for Imaging
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One class of lensless devices for imaging macroscopic objects relies on miniature gratings consisting of steps in thickness in a
transparent material (glass or silicate) that delay one portion of the incident light wave with respect to another portion. The pattern of steps expresses special mathematical properties that uniquely ensure that the pattern of light in the material does not depend much on the wavelength of the light and thus upon the unintended variations in thickness arising during the manufacture of the glass. …The light from the scene
diffracts through the grating, yielding a pattern of light on the array that does not appear like a traditional image—it does not “look good” but instead more like a diffuse blob, unintelligible to the human eye. Nevertheless, the blob contains enough visual information (albeit in an unusual distribution) such that the desired image can be reconstructed through a computational process called image
convolution.
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Compressive Sensing
….An optical image on a sensor is just a
complicated signal that can be represented as a list of numbers and processed digitally. Just as a complicated sound can be built up from a large number of simpler sounds, each added in a proportion that depends on the sound in question, so too can an image be built up from lots of simpler images. …
Enter compressive sensing. Theoretical results from statisticians have shown that, as long as the information from the scene is redundant (and the image is thus compressible), one does not need to measure such mathematically elegant bases, but can use measurements from a suitably random one. If such “coded measurements” are available then one can still exploit the idea that the signal can be well represented in the elegant basis elements (such as cosines or wavelets) and recover the image through compressive sensing.
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Google Sells A.I. for Building A.I. (Novices Welcome) – The New York Times
January 27, 2018$GOOG Sells AI for Building #AI
https://www.NYTimes.com/2018/01/17/technology/google-sells-ai.html QT: “Humans must label the data before the system can
learn…once images…labeled…[it] operates w/o human
involvement…It can build a model from scratch.” How can one preview this? Will it be integrated into gphotos?
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Initially, Google will open this service only to a small group of businesses.
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But sometimes, there is no substitute for good old human labor. With Google’s new service, humans must label the data before the system can learn from it. …
Google says that once images are labeled, its new service operates without human involvement….Given more time, it
can build a model from scratch, specifically for the problem at hand.
If you are a zoologist who wants an algorithm that identifies jaguars and giraffes, said Fei-Fei Li, chief scientist inside the Google cloud group, all you have to do is supply the right images. “You upload jaguars and giraffes,” she said. “And you are done.”
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