COMPOSITION
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Photography basics: Camera Aspect Ratio, Sensor Size and Depth of Field – resolutionsRead more: Photography basics: Camera Aspect Ratio, Sensor Size and Depth of Field – resolutionshttp://www.shutterangle.com/2012/cinematic-look-aspect-ratio-sensor-size-depth-of-field/ http://www.shutterangle.com/2012/film-video-aspect-ratio-artistic-choice/ 
DESIGN
COLOR
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PTGui 13 beta adds control through a Patch EditorRead more: PTGui 13 beta adds control through a Patch EditorAdditions: - Patch Editor (PTGui Pro)
- DNG output
- Improved RAW / DNG handling
- JPEG 2000 support
- Performance improvements
 
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Björn Ottosson – How software gets color wrongRead more: Björn Ottosson – How software gets color wronghttps://bottosson.github.io/posts/colorwrong/ Most software around us today are decent at accurately displaying colors. Processing of colors is another story unfortunately, and is often done badly. To understand what the problem is, let’s start with an example of three ways of blending green and magenta: - Perceptual blend – A smooth transition using a model designed to mimic human perception of color. The blending is done so that the perceived brightness and color varies smoothly and evenly.
- Linear blend – A model for blending color based on how light behaves physically. This type of blending can occur in many ways naturally, for example when colors are blended together by focus blur in a camera or when viewing a pattern of two colors at a distance.
- sRGB blend – This is how colors would normally be blended in computer software, using sRGB to represent the colors.
 Let’s look at some more examples of blending of colors, to see how these problems surface more practically. The examples use strong colors since then the differences are more pronounced. This is using the same three ways of blending colors as the first example. Instead of making it as easy as possible to work with color, most software make it unnecessarily hard, by doing image processing with representations not designed for it. Approximating the physical behavior of light with linear RGB models is one easy thing to do, but more work is needed to create image representations tailored for image processing and human perception. Also see: 
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Brett Jones / Phil Reyneri (Lightform) / Philipp7pc: The study of Projection Mapping through ProjectorsRead more: Brett Jones / Phil Reyneri (Lightform) / Philipp7pc: The study of Projection Mapping through ProjectorsVideo Projection Tool Software 
 https://hcgilje.wordpress.com/vpt/https://www.projectorpoint.co.uk/news/how-bright-should-my-projector-be/ http://www.adwindowscreens.com/the_calculator/ heavym 
 https://heavym.net/en/MadMapper 
 https://madmapper.com/
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FXGuide – ACES 2.0 with ILM’s Alex FryRead more: FXGuide – ACES 2.0 with ILM’s Alex Fryhttps://draftdocs.acescentral.com/background/whats-new/ ACES 2.0 is the second major release of the components that make up the ACES system. The most significant change is a new suite of rendering transforms whose design was informed by collected feedback and requests from users of ACES 1. The changes aim to improve the appearance of perceived artifacts and to complete previously unfinished components of the system, resulting in a more complete, robust, and consistent product. Highlights of the key changes in ACES 2.0 are as follows: - New output transforms, including:
- A less aggressive tone scale
- More intuitive controls to create custom outputs to non-standard displays
- Robust gamut mapping to improve perceptual uniformity
- Improved performance of the inverse transforms
 
- Enhanced AMF specification
- An updated specification for ACES Transform IDs
- OpenEXR compression recommendations
- Enhanced tools for generating Input Transforms and recommended procedures for characterizing prosumer cameras
- Look Transform Library
- Expanded documentation
 Rendering TransformThe most substantial change in ACES 2.0 is a complete redesign of the rendering transform. ACES 2.0 was built as a unified system, rather than through piecemeal additions. Different deliverable outputs “match” better and making outputs to display setups other than the provided presets is intended to be user-driven. The rendering transforms are less likely to produce undesirable artifacts “out of the box”, which means less time can be spent fixing problematic images and more time making pictures look the way you want. Key design goals- Improve consistency of tone scale and provide an easy to use parameter to allow for outputs between preset dynamic ranges
- Minimize hue skews across exposure range in a region of same hue
- Unify for structural consistency across transform type
- Easy to use parameters to create outputs other than the presets
- Robust gamut mapping to improve harsh clipping artifacts
- Fill extents of output code value cube (where appropriate and expected)
- Invertible – not necessarily reversible, but Output > ACES > Output round-trip should be possible
- Accomplish all of the above while maintaining an acceptable “out-of-the box” rendering
 
- New output transforms, including:
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Tim Kang – calibrated white light values in sRGB color spaceRead more: Tim Kang – calibrated white light values in sRGB color space8bit sRGB encoded 
 2000K 255 139 22
 2700K 255 172 89
 3000K 255 184 109
 3200K 255 190 122
 4000K 255 211 165
 4300K 255 219 178
 D50 255 235 205
 D55 255 243 224
 D5600 255 244 227
 D6000 255 249 240
 D65 255 255 255
 D10000 202 221 255
 D20000 166 196 2558bit Rec709 Gamma 2.4 
 2000K 255 145 34
 2700K 255 177 97
 3000K 255 187 117
 3200K 255 193 129
 4000K 255 214 170
 4300K 255 221 182
 D50 255 236 208
 D55 255 243 226
 D5600 255 245 229
 D6000 255 250 241
 D65 255 255 255
 D10000 204 222 255
 D20000 170 199 2558bit Display P3 encoded 
 2000K 255 154 63
 2700K 255 185 109
 3000K 255 195 127
 3200K 255 201 138
 4000K 255 219 176
 4300K 255 225 187
 D50 255 239 212
 D55 255 245 228
 D5600 255 246 231
 D6000 255 251 242
 D65 255 255 255
 D10000 208 223 255
 D20000 175 199 25510bit Rec2020 PQ (100 nits) 
 2000K 520 435 273
 2700K 520 466 358
 3000K 520 475 384
 3200K 520 480 399
 4000K 520 495 446
 4300K 520 500 458
 D50 520 510 482
 D55 520 514 497
 D5600 520 514 500
 D6000 520 517 509
 D65 520 520 520
 D10000 479 489 520
 D20000 448 464 520
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The Color of Infinite TemperatureRead more: The Color of Infinite TemperatureThis is the color of something infinitely hot.  Of course you’d instantly be fried by gamma rays of arbitrarily high frequency, but this would be its spectrum in the visible range. johncarlosbaez.wordpress.com/2022/01/16/the-color-of-infinite-temperature/ This is also the color of a typical neutron star. They’re so hot they look the same. 
 It’s also the color of the early Universe!This was worked out by David Madore.  The color he got is sRGB(148,177,255). 
 www.htmlcsscolor.com/hex/94B1FFAnd according to the experts who sip latte all day and make up names for colors, this color is called ‘Perano’. 
LIGHTING
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Light propertiesRead more: Light propertiesHow It Works – Issue 114 
 https://www.howitworksdaily.com/
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