COMPOSITION
- 
9 Best Hacks to Make a Cinematic Video with Any CameraRead more: 9 Best Hacks to Make a Cinematic Video with Any Camerahttps://www.flexclip.com/learn/cinematic-video.html - Frame Your Shots to Create Depth
- Create Shallow Depth of Field
- Avoid Shaky Footage and Use Flexible Camera Movements
- Properly Use Slow Motion
- Use Cinematic Lighting Techniques
- Apply Color Grading
- Use Cinematic Music and SFX
- Add Cinematic Fonts and Text Effects
- Create the Cinematic Bar at the Top and the Bottom
  
DESIGN
- 
Goga Tandashvili – bas-relief masterRead more: Goga Tandashvili – bas-relief master@moltenimmersiveart Goga Tandashvili is a master of the art of Bas-Relief. Using this technique, he creates stunning figures that are slightly raised from a flat surface, bringing scenes inspired by the natural world to life. #Art #Artists #GogaTandashvili #BasReliefSculpture #ArtInspiredByNature #ImpressionistArt #BasRelief #Sculptures #Sculptor #Molten #MoltenArt #MoltenImmersiveArt #MoltenAffect #Curation #Curator #ArtCuration #ArtCurator #DorothyDiStefano ♬ original sound – Molten Immersive Art 
COLOR
- 
sRGB vs REC709 – An introduction and FFmpeg implementationsRead more: sRGB vs REC709 – An introduction and FFmpeg implementations 1. Basic Comparison- What they are
- sRGB: A standard “web”/computer-display RGB color space defined by IEC 61966-2-1. It’s used for most monitors, cameras, printers, and the vast majority of images on the Internet.
- Rec. 709: An HD-video color space defined by ITU-R BT.709. It’s the go-to standard for HDTV broadcasts, Blu-ray discs, and professional video pipelines.
 
- Why they exist
- sRGB: Ensures consistent colors across different consumer devices (PCs, phones, webcams).
- Rec. 709: Ensures consistent colors across video production and playback chains (cameras → editing → broadcast → TV).
 
- What you’ll see
- On your desktop or phone, images tagged sRGB will look “right” without extra tweaking.
- On an HDTV or video-editing timeline, footage tagged Rec. 709 will display accurate contrast and hue on broadcast-grade monitors.
 
 
 2. Digging DeeperFeature sRGB Rec. 709 White point D65 (6504 K), same for both D65 (6504 K) Primaries (x,y) R: (0.640, 0.330) G: (0.300, 0.600) B: (0.150, 0.060) R: (0.640, 0.330) G: (0.300, 0.600) B: (0.150, 0.060) Gamut size Identical triangle on CIE 1931 chart Identical to sRGB Gamma / transfer Piecewise curve: approximate 2.2 with linear toe Pure power-law γ≈2.4 (often approximated as 2.2 in practice) Matrix coefficients N/A (pure RGB usage) Y = 0.2126 R + 0.7152 G + 0.0722 B (Rec. 709 matrix) Typical bit-depth 8-bit/channel (with 16-bit variants) 8-bit/channel (10-bit for professional video) Usage metadata Tagged as “sRGB” in image files (PNG, JPEG, etc.) Tagged as “bt709” in video containers (MP4, MOV) Color range Full-range RGB (0–255) Studio-range Y′CbCr (Y′ [16–235], Cb/Cr [16–240]) 
 Why the Small Differences Matter(more…)
- What they are
- 
GretagMacbeth Color Checker Numeric Values and Middle GrayRead more: GretagMacbeth Color Checker Numeric Values and Middle GrayThe human eye perceives half scene brightness not as the linear 50% of the present energy (linear nature values) but as 18% of the overall brightness. We are biased to perceive more information in the dark and contrast areas. A Macbeth chart helps with calibrating back into a photographic capture into this “human perspective” of the world. https://en.wikipedia.org/wiki/Middle_gray In photography, painting, and other visual arts, middle gray or middle grey is a tone that is perceptually about halfway between black and white on a lightness scale in photography and printing, it is typically defined as 18% reflectance in visible light  Light meters, cameras, and pictures are often calibrated using an 18% gray card[4][5][6] or a color reference card such as a ColorChecker. On the assumption that 18% is similar to the average reflectance of a scene, a grey card can be used to estimate the required exposure of the film. https://en.wikipedia.org/wiki/ColorChecker (more…)
- 
Victor Perez – ACES Color Management in DaVinci ResolveRead more: Victor Perez – ACES Color Management in DaVinci Resolvehttpv://www.youtube.com/watch?v=i–TS88-6xA 
- 
Is a MacBeth Colour Rendition Chart the Safest Way to Calibrate a Camera?Read more: Is a MacBeth Colour Rendition Chart the Safest Way to Calibrate a Camera?www.colour-science.org/posts/the-colorchecker-considered-mostly-harmless/ “Unless you have all the relevant spectral measurements, a colour rendition chart should not be used to perform colour-correction of camera imagery but only for white balancing and relative exposure adjustments.” “Using a colour rendition chart for colour-correction might dramatically increase error if the scene light source spectrum is different from the illuminant used to compute the colour rendition chart’s reference values.” “other factors make using a colour rendition chart unsuitable for camera calibration: – Uncontrolled geometry of the colour rendition chart with the incident illumination and the camera. 
 – Unknown sample reflectances and ageing as the colour of the samples vary with time.
 – Low samples count.
 – Camera noise and flare.
 – Etc…“Those issues are well understood in the VFX industry, and when receiving plates, we almost exclusively use colour rendition charts to white balance and perform relative exposure adjustments, i.e. plate neutralisation.” 
- 
Akiyoshi Kitaoka – Surround biased illumination perceptionRead more: Akiyoshi Kitaoka – Surround biased illumination perceptionhttps://x.com/AkiyoshiKitaoka/status/1798705648001327209 The left face appears whitish and the right one blackish, but they are made up of the same luminance. https://community.wolfram.com/groups/-/m/t/3191015 Illusory staircase Gelb effect 
 https://www.psy.ritsumei.ac.jp/akitaoka/illgelbe.html
- 
Space bodies’ components and light spectroscopyRead more: Space bodies’ components and light spectroscopywww.plutorules.com/page-111-space-rocks.html This help’s us understand the composition of components in/on solar system bodies. Dips in the observed light spectrum, also known as, lines of absorption occur as gasses absorb energy from light at specific points along the light spectrum. These dips or darkened zones (lines of absorption) leave a finger print which identify elements and compounds. In this image the dark absorption bands appear as lines of emission which occur as the result of emitted not reflected (absorbed) light. Lines of absorption  Lines of emission Lines of emission    
LIGHTING
- 
Insta360-Research-Team DiT360 – High-Fidelity Panoramic Image Generation via Hybrid TrainingRead more: Insta360-Research-Team DiT360 – High-Fidelity Panoramic Image Generation via Hybrid Traininghttps://github.com/Insta360-Research-Team/DiT360 DiT360 is a framework for high-quality panoramic image generation, leveraging both perspective and panoramic data in a hybrid training scheme. It adopts a two-level strategy—image-level cross-domain guidance and token-level hybrid supervision—to enhance perceptual realism and geometric fidelity.  
- 
Terminators and Iron Men: HDRI, Image-based lighting and physical shading at ILM – Siggraph 2010Read more: Terminators and Iron Men: HDRI, Image-based lighting and physical shading at ILM – Siggraph 2010
- 
StudioBinder.com – CRI color rendering indexRead more: StudioBinder.com – CRI color rendering indexwww.studiobinder.com/blog/what-is-color-rendering-index “The Color Rendering Index is a measurement of how faithfully a light source reveals the colors of whatever it illuminates, it describes the ability of a light source to reveal the color of an object, as compared to the color a natural light source would provide. The highest possible CRI is 100. A CRI of 100 generally refers to a perfect black body, like a tungsten light source or the sun. ” www.pixelsham.com/2021/04/28/types-of-film-lights-and-their-efficiency 
- 
domeble – Hi-Resolution CGI Backplates and 360° HDRIRead more: domeble – Hi-Resolution CGI Backplates and 360° HDRIWhen collecting hdri make sure the data supports basic metadata, such as: - Iso
- Aperture
- Exposure time or shutter time
- Color temperature
- Color space Exposure value (what the sensor receives of the sun intensity in lux)
- 7+ brackets (with 5 or 6 being the perceived balanced exposure)
 In image processing, computer graphics, and photography, high dynamic range imaging (HDRI or just HDR) is a set of techniques that allow a greater dynamic range of luminances (a Photometry measure of the luminous intensity per unit area of light travelling in a given direction. It describes the amount of light that passes through or is emitted from a particular area, and falls within a given solid angle) between the lightest and darkest areas of an image than standard digital imaging techniques or photographic methods. This wider dynamic range allows HDR images to represent more accurately the wide range of intensity levels found in real scenes ranging from direct sunlight to faint starlight and to the deepest shadows. The two main sources of HDR imagery are computer renderings and merging of multiple photographs, which in turn are known as low dynamic range (LDR) or standard dynamic range (SDR) images. Tone Mapping (Look-up) techniques, which reduce overall contrast to facilitate display of HDR images on devices with lower dynamic range, can be applied to produce images with preserved or exaggerated local contrast for artistic effect. Photography In photography, dynamic range is measured in Exposure Values (in photography, exposure value denotes all combinations of camera shutter speed and relative aperture that give the same exposure. The concept was developed in Germany in the 1950s) differences or stops, between the brightest and darkest parts of the image that show detail. An increase of one EV or one stop is a doubling of the amount of light. The human response to brightness is well approximated by a Steven’s power law, which over a reasonable range is close to logarithmic, as described by the Weber�Fechner law, which is one reason that logarithmic measures of light intensity are often used as well. HDR is short for High Dynamic Range. It’s a term used to describe an image which contains a greater exposure range than the “black” to “white” that 8 or 16-bit integer formats (JPEG, TIFF, PNG) can describe. Whereas these Low Dynamic Range images (LDR) can hold perhaps 8 to 10 f-stops of image information, HDR images can describe beyond 30 stops and stored in 32 bit images.  
COLLECTIONS
| Featured AI
| Design And Composition 
| Explore posts  
POPULAR SEARCHES
unreal | pipeline | virtual production | free | learn | photoshop | 360 | macro | google | nvidia | resolution | open source | hdri | real-time | photography basics | nuke
FEATURED POSTS
- 
PixelSham – Introduction to Python 2022
- 
Types of AI Explained in a few Minutes – AI Glossary
- 
AI Data Laundering: How Academic and Nonprofit Researchers Shield Tech Companies from Accountability
- 
How to paint a boardgame miniatures
- 
How does Stable Diffusion work?
- 
Photography basics: Production Rendering Resolution Charts
- 
Eyeline Labs VChain – Chain-of-Visual-Thought for Reasoning in Video Generation for better AI physics
- 
Guide to Prompt Engineering
Social Links
DISCLAIMER – Links and images on this website may be protected by the respective owners’ copyright. All data submitted by users through this site shall be treated as freely available to share.



























