There is no free lunch and anything comes at a price. This appears to be true especially for Sony gear, always hyped and most of the time only because of the specifications sheets.
DPReview wanted to know better. They put the Sony a9 on their test bench, and found some interesting things. So, how does the powerhouse a9 perform when it comes to ISO-invariance (what is it?) and dynamic range.
DPReview found out that the Sony a9 is not ISO-invariant, and that “the camera is adding a fair amount of read noise that results in noisy shadows, limiting dynamic range at base ISO“. They also found that the Sony A9 sensor “was likely optimized for speed at the expense of low ISO dynamic range“.
What does all this mean? According to DPReview “this limits the exposure latitude of a9 Raws, so you’ll have some limited ability to expose high contrast scenes for the highlights, then tonemap (raise) shadows in post“.
The Canon Digital Learning Center posted a new article about the company’s proprietary Dual Pixel Auto-Focus (DPAF) technology.
Dual Pixel AF was first introduced with the Canon EOS 70D, and has since then found its way to high end Canon Cine products and pro and semi-pro DSLRs, as well as into a mirrorless camera (well, eventually). Dual Pixel AF is a game changer and an industry’s exclusive you get only with Canon cameras.
Put simply, Dual Pixel AF takes autofocus to the next level. It provides both smooth and consistent focus for a wide range of photo and video applications. Each pixel on the CMOS imaging sensor has two separate, light-sensitive photodiodes, which convert light into an electronic signal. Independently, each half of a pixel detects light through separate micro lenses, atop each pixel. During AF detection, the two halves of each pixel — the two photodiodes — send separate signals, which are analyzed for focus information. Then, an instant later when an actual image or video frame is recorded, the two separate signals from each pixel are combined into one single one, for image capturing purposes. This greatly improves AF speed over the majority of the area on which you’re focusing. The result is phase-detection autofocus, which surveys the scene and recognizes not only whether a subject is in focus or not, but in which direction (near or far), and by how much.
Google developed Guetzli, a new JPEG encoding algorithm. What’s special with it? The algorithm, which btw is open source, is able to compress a JPG file without loss of image quality and to cut its size by 35% (again: it’s lossless).
Guetzli is a JPEG encoder that aims for excellent compression density at high visual quality. Guetzli-generated images are typically 20-30% smaller than images of equivalent quality generated by libjpeg. Guetzli generates only sequential (nonprogressive) JPEGs due to faster decompression speeds they offer.
From the Google Research Blog:
Guetzli [guɛtsli] — cookie in Swiss German — is a JPEG encoder for digital images and web graphics that can enable faster online experiences by producing smaller JPEG files while still maintaining compatibility with existing browsers, image processing applications and the JPEG standard. From the practical viewpoint this is very similar to our Zopfli algorithm, which produces smaller PNG and gzip files without needing to introduce a new format, and different than the techniques used in RNN-based image compression, RAISR, and WebP, which all need client changes for compression gains at internet scale.
The visual quality of JPEG images is directly correlated to its multi-stage compression process: color space transform, discrete cosine transform, and quantization. Guetzli specifically targets the quantization stage in which the more visual quality loss is introduced, the smaller the resulting file. Guetzli strikes a balance between minimal loss and file size by employing a search algorithm that tries to overcome the difference between the psychovisual modeling of JPEG’s format, and Guetzli’s psychovisual model, which approximates color perception and visual masking in a more thorough and detailed way than what is achievable by simpler color transforms and the discrete cosine transform. However, while Guetzli creates smaller image file sizes, the tradeoff is that these search algorithms take significantly longer to create compressed images than currently available methods.
It’s easy to figure out how big of an impact this will make for the Internet. The algorithm may literally reduce the size of the Internet, and that’s no joke.
You may try out Guetzli on your own, it’s free and available on GitHub. It’s compatible with all browsers and image processing applications, and obviously it’s compatible with the JPEG standard.
What about the name? You’ve seen above that it is Swiss German for cookie. The project was born out of Google Research’s Zurich office.
I reported previously about a global shutter sensor Canon is researching and developing. This sensor made it into the news again. Nikkei Technology reports about the Canon 2/3″ sensor with global shutter and wide dynamic range, which was first presented at ISSCC 2017.
From the ISSCC 2017 lecture, Nikkei reports:
The size, pixel count, pixel pitch and power consumption of the sensor are 2/3 inches, 2,592 x 2,054, 3.4μm and 450mW, respectively. In a demonstration after the lecture, the company used the sensor to take a picture of an electric fan whose blades are turning […]
Through […] improvements, Canon doubled the saturated amount of electric charge and widened dynamic range. Specifically, it increased the saturated amount of electric charge from 8,100 electrons with a frame rate of 120fps to 16,200 electrons with a frame rate of 60fps.
The dark temporal noise of the new sensor is 1.8 electronsrms. As a result, its dynamic range is 79dB with a frame rate of 60fps and reaches 111dB when HDR is applied.
Well let’s hope we see such a sensor in a Canon DSLR soon. Besides this utopian wishes, this is another report that shows Canon’s commitment to develop innovative sensor technology.
The slides below are from the ISSCC 2017 presentation.
It’s safe to assume that Dual Pixel AF (DPAF) has now become Canon’s standard on-sensor auto-focusing technology. Since it made it into a Rebel, it will be featured on almost any future Canon DSLR and MILC (and who knows…maybe also in some high-end PowerShots).
Dual Pixel AF debuted in July 2013 (press release), on the still noteworthy Canon EOS 70D. It took Canon a long time to feature it on other cameras, and even longer to put it into a mirrorless camera. The EOS M5 and EOS M6 are the first Canon MILCs to feature it. And hell if it makes a difference on a mirrorless system. If only Canon had used it before on their mirrorless offering.