Reading Room

An original design for the upscale tungsten interior of the late 1980s and early 1990s: mahogany and brass under warm practicals, staged objects on a polished surface, a black that never arrives and a white that never quite gets there. Derivation in the notes.

Aesthetic reference: Frasurbane, catalogued by the Consumer Aesthetics Research Institute and named by Evan Collins. Their entry places it from the late 1980s to the mid 1990s and describes it as the Grunge era's breakthroughs filtered through an aging and more conservative Baby Boomer audience: serif type throughout, warm sepia or black-and-white images of timeless and classical subjects, often in soft focus, with heavily staged product photography. The named props are astrolabes, globes, Vitruvian-Man diagrams, textured paper, neo-traditional architecture, and Victorian-style scientific illustration of objects, plants and animals.

The recipe is not named for the aesthetic, and that is deliberate. Frasurbane is a portmanteau built on a television title, so this bank credits the influence in prose with a link and keeps the recipe name to the room the camera is pointed at. Same rule that governs BewareMyVelvia.

Provenance. Built 2026-09-08 against the 36 images in CARI's Are.na channel for the entry, read first-hand and measured. The queue that proposed this look recorded the channel as holding 778 mostly untitled 2018 screen captures. That is a different channel by the same researcher. The one CARI links from the entry holds 36 blocks, every one titled and dated. The correction is logged in the internal research notes, and it matters, because the titled corpus is what made the measurement below possible.

What the corpus actually measures

Thirty of the 36 blocks are photographs (the other six are type specimens, interface screenshots, a collage cover and a video-noise frame). Converting each to CIELAB and separating by luminance gives the result the whole recipe is built on.

The warmth is split across the tone scale. The shadows are red with almost no yellow in them. The yellow lives in the midtones and highlights. Three independent estimators agree: fixed luminance bands, per-image luminance quartiles with a median, and a band-free regression of chroma on luminance. The regression puts the slope of a* at −1.96 and of b* at +4.39 per standard deviation of luminance, running in opposite directions. Shadow a* is positive in 29 of 30 images.

That is the finding, and it is the reason this recipe is not the one the queue expected.

Why Astia

Four requirements fall straight out of that table, and one simulation satisfies all four.

• Soft at both ends. A lifted black at L* 14.2 under a rolled highlight at L* 87.9 is a soft-shouldered, soft-toed curve. Fujifilm publishes Astia as soft at both ends, which is the shape, before any tone-curve adjustment is applied.
• Saturation maintained. Fujifilm's phrasing for Astia is soft at both ends "while saturation is maintained", and a mean chroma of 18.9 is exactly that: healthy colour on a gentle curve. A desaturating base would have to be pushed back up, and a saturating one pulled back down.
• Built for uncontrolled colour temperature. Astia is the simulation Fujifilm engineered for mixed and uncontrolled lighting. The corpus is tungsten practicals in rooms nobody gelled. The base was designed for the exact lighting condition the subject presents.
• No competing colour story. The recipe needs to place red low and yellow high. A base with strong per-hue interventions would fight that. Astia has the least opinionated hue rendering of the candidates.

The white balance is the recipe

Two controls carry the split, and neither is a tone-curve setting.

The Kelvin value puts yellow in the highlights. Modelling a white surface under tungsten, captured at a given Kelvin setting and viewed under D65, the corpus highlight target of a* +2.7 and b* +14.2 is matched when the camera is set roughly 400 K above the actual illuminant. That result is stable across the tungsten range: 2800 K light shot at 3200 K, 3200 K light shot at 3600 K, 3000 K light shot between the two. So the practical instruction is to set Kelvin about 400 K warmer than the room rather than to any fixed number.

Two things follow that are worth stating outright. Auto white balance is wrong here, because it would neutralise the cast and take the look with it. Daylight is wrong in the other direction: the same model puts a daylight setting on tungsten at b* +48 to +55, roughly four times the measured value. This is a small, disciplined refusal to correct, not a warm filter.

The WB Shift puts red in the shadows. Fujifilm's shift grid runs Red against Cyan and Blue against Yellow, with no green axis, so a shift toward Red and Blue together produces a magenta nudge: red without yellow. That is precisely the shadow signature. It is applied globally, but a fixed magenta bias reads clearly where chroma is low and gets lost where it is already high, so it lands visibly in the shadows and disappears under the b* +14 of the highlights. The split appearance comes out of two global controls acting on a subject whose own light is doing half the work.

+2 and +2 is deliberately small. The shadows need about 5 units of a* beyond what the Kelvin offset already supplies, and the highlights need to stay near a* +2.7. A heavier shift would redden the highlights and collapse the separation the look depends on.

The rest

• DR400, and it earns its place on a measurement. A tungsten interior with a bare practical in frame is easily a ten-stop scene, and the highlight this recipe must protect is a yellow one. A clipped highlight is neutral white, which would destroy the single most distinctive thing in the corpus. Two stops of highlight insurance keep b* alive at the top. The usual cost, that DR modes lift everything below the highlights, is a benefit here: the target black is lifted anyway at L* 14.2. The floor lands at ISO 500, the X-T5 conversion-gain sweet spot.
• Highlight −2 and Shadow −1. Astia is already soft at both ends, so these are small pushes rather than corrections. Highlight −2 takes the roll-off further because the measured white point is a firm 87.9 and practicals want to run away. Shadow stops at −1 because DR400 is already lifting the bottom, and the two together reach L* 14 without going milky.
• Clarity −2. Soft focus is named twice in the CARI entry, and it is the one part of this look a recipe genuinely cannot deliver, because it is a lens and diffusion decision. Clarity is a local-contrast operator, so it is the nearest thing the camera has, and it moves in the right direction without pretending to be a diffusion filter. The documented penalty, slower shot-to-shot saving, is free on a subject that does not move.
• Sharpness −1 rather than lower. The corpus is soft at the macro scale and detailed at the small one: wood grain, laminate, stone and the tooth of textured paper are the actual subjects in several frames. Clarity −2 is already softening local contrast, so Sharpness only needs to take the edge off. Going further loses the materials.
• Color 0. Mean chroma of 18.9 is moderate, and Color Chrome Effect Strong is already thickening the dense warm colours. If frames come back thin, raise this to +1 before touching anything else.
• Color Chrome Effect Strong. It works on colours that are already saturated, giving them tonal separation rather than raising saturation. In this subject that means deep mahogany, brass, oxblood leather and polished walnut get depth while the warm neutrals are left alone. This is the base's densest-colour problem and CCE is the control for it.
• Color Chrome FX Blue Off. There is very little blue in this corpus, and where it appears it is a window or a sky behind a warm interior. FX Blue deepens blues toward navy, which pulls attention out of a frame built entirely around warmth.
• Grain Weak, Small. The corpus is commercial print and transparency, which is clean stock. Enough grain to give the print surface a texture, not enough to claim this is fast film.
• Exposure −1/3. The practicals will pull a reflective meter around, and the ground needs to stay deep so that DR400 and Shadow −1 can lift it to a controlled L* 14 rather than to mud. Return to 0 when the room is already dark and there is no hot practical in frame.

Variants

Movie mode

Not carried over, and the reason is specific rather than general. Movie mode drops Grain, Color Chrome Effect and Clarity, and this recipe leans on two of the three: Clarity −2 is the soft-focus stand-in and CCE Strong is what keeps mahogany and brass from going flat. What survives is Astia, the Kelvin offset, the WB Shift and the tone curve, which is the colour half of the look without the surface half. If you want it moving, shoot Astia at 3200 K with +2 Red & +2 Blue, Highlight −2, Shadow −1, and put the softness back with a diffusion filter on the lens, which is what the original material did anyway. See Video / Movie Mode, settings, differences, and photo→video translation.

Validation tier: Creative design, field-test pending. There is no datasheet for an aesthetic. What this recipe does have, and what most looks in this folder do not, is a measured target: 30 photographs from the entry's own corpus, reduced to shadow and highlight chroma under three estimators, plus a white-balance model that turns the highlight measurement into a Kelvin instruction. The base argument rests on Fujifilm's published design statements for Astia and for each rejected simulation, and on this bank's Dynamic Range & Tone Curve, the contrast controls tone-curve table.

No frames have been shot with it.

Test priority: in order

1. A tungsten-lit room with a practical in frame, Kelvin at 400 K over the room. The whole recipe in one exposure. Does the lit surface hold a yellow cast rather than clipping to white, and does the unlit corner go red-brown rather than grey? If the corner is grey, the WB Shift is too small before anything else is wrong.
2. A white or cream object under the practicals. The highlight test. Measure it: the target is roughly a* +3 and b* +14, and it is the one number in this recipe that came from a model rather than from a photograph, so it is the one most likely to be off.
3. Mahogany, brass or oxblood leather at close range. The Color Chrome Effect Strong check. Do the dense warm colours separate tonally, or has the soft base let them go muddy? Muddy means Color +1, not CCE weaker.
4. Textured paper or a woven surface at 100 per cent. The Clarity −2 and Sharpness −1 interaction, which is the pairing most likely to have overshot. If the tooth of the paper is gone, Sharpness returns to 0 before Clarity moves.
5. A frame with a window in it. The mixed-temperature case, and the reason the base is Astia rather than Pro Neg. Std. If daylight and tungsten both look plausible in one frame, the base choice is doing its job.

What would count as the recipe being wrong rather than needing a tweak: if the shadows will not go red without the highlights going red with them, then the mechanism this recipe rests on, that a fixed magenta bias reads differently at different chroma levels, is too weak to carry the look. In that case the split has to come from the lighting rather than the camera, and the recipe becomes a set of instructions about practicals rather than a set of settings.

Pro tip: The measured warmth is smaller than it looks. Everyone reads this era as heavily orange, and the corpus says the highlight sits at b* +14, which the white-balance model matches with a 400 K offset. That is about one notch on a Kelvin dial. Overdo it and you land in the 1970s instead, which is Revival House and a different recipe.

Pro tip: Set Kelvin against the room, not against a number. The instruction here is an offset rather than a value, because the whole look is the difference between the light and the setting. A meter reading of the room, plus 400, is more reliable than memorising 3200.

Pro tip: Auto white balance destroys this recipe outright. It is the only look in this folder where Auto is not a fallback but an active failure, because the camera's correction is aimed at exactly the cast the look is made of. Fix the Kelvin, and remember the X-T5 stores a WB Shift per preset, so C1 through C7 will each hold their own.

Pro tip: Red low, yellow high. If you remember one thing about this look, it is that the warmth is not uniform. Shadows go red with almost no yellow (a* +8, b* +3), highlights go yellow with almost no red (a* +3, b* +14). A grade that warms everything equally is the most common way to miss it.

Shoot JPEG. HEIF silently drops Clarity, which is the setting standing in for soft focus here. See Grain & Detail. Grain Effect, Sharpness, Clarity, High ISO NR.

Creative design (field-test pending). See the recipe, the aesthetic reference, and the Knowledge base.

Part 0: what the source says, and a correction to our own notes

The reference is the Consumer Aesthetics Research Institute's entry for Frasurbane, named by Evan Collins, running from the late 1980s to the mid 1990s.

This bank's internal queue carried an error about the corpus that had to be fixed before any work could start. It recorded the entry's Are.na channel as holding 778 blocks, "by far the biggest of any entry in this queue", almost all untitled 2018 screen captures, and concluded that the written entry carried more information than the image index did.

Two channels by the same researcher had been conflated. The 778-block channel exists and is the one full of untitled screenshots. The channel CARI actually links from the entry holds 36 blocks, every one titled and dated, which is comparable to Austurbane's 24 rather than the largest in the file. The queue's conclusion followed from the wrong channel, and it was backwards: for this look the image corpus carries considerably more than the written entry, because it can be measured.

Part 1: the corpus, and the decision to measure it

Thirty of the 36 blocks are photographs. The other six are a type specimen, two interface screenshots, an illustrated album cover and a video-noise frame, and they are excluded from every number below. That exclusion list was itself corrected once during the work: a first pass dropped a real photograph and kept the video frame, which is worth recording because it changed the aggregate before it was caught.

The images were fetched into a scratch workspace for analysis and were not downloaded into the reference set, are not reproduced here, and are not in this collection. CARI's notice is that its collection is a source of inspiration and analysis rather than free assets, and this bank is built to be sold, which makes that binding. The measurement travels. The pictures do not.

Part 2: the measurement

Each photograph was converted to CIELAB and split by luminance. The question was simple and the answer was not the expected one: where in the tone scale does the warmth live?

The three estimators are structurally different. The first uses fixed absolute band edges. The second uses per-image relative edges and a median, so it is immune both to the choice of edge and to outlying pixels. The third uses no bands at all, regressing chroma directly on luminance across every pixel. This bank's Measuring film curves from datasheets, method, calibration, and its limits curve-measurement discipline holds that a finding is only reportable if it survives a change of estimator rather than a change of window, and this one does.

The sign tests are what make it convincing rather than merely consistent. Shadow a* is positive in 29 of 30 images. The b* slope is positive in 24 of 30. Shadow b*, by contrast, is positive in only 20 of 30, which is barely distinguishable from a coin flip, and that near-null is the finding: there is no yellow in these shadows to speak of.

The warmth is split. Red sits low, yellow sits high, and the two run in opposite directions across the tone scale.

The endpoints matter too.

One honest limitation. These are scans and screen captures of printed material, so the endpoints are the endpoints of a reproduction rather than of a negative. That would be fatal if the goal were to characterise an emulsion. It is not: the target here is the appearance of the finished page, which is exactly what a JPEG recipe is trying to produce. The instrument matches the question.

Part 3: why the warmth is split, physically

The structure is not an arbitrary grade. It is what a tungsten-lit room does to a camera that has not fully corrected for it.

The lit surfaces in these frames are lit by tungsten practicals, so the bright parts of the image are the parts carrying the illuminant's yellow. The dark parts are lit by bounce and fall-off, where the tungsten spectrum is both weaker and, after the era's print stage, biased toward the red end. The result is yellow where the light is and red where it is not.

That reading is testable, and it was tested. Modelling a white surface under a tungsten illuminant, captured with the camera adapted to a given Kelvin value and viewed under D65, reproduces the measured highlight chroma when the camera setting sits about 400 K above the illuminant.

Target: a* +2.69, b* +14.23. The three closest fits are all offsets of 400 K, across three different illuminant temperatures, which is a stronger result than a single match would be. A daylight setting overshoots by roughly a factor of four.

Two consequences for the recipe follow directly. Auto white balance is an active failure here rather than a safe default, because its whole job is to remove the cast the look is made of. And the correct instruction is an offset rather than a value, because the look is the difference between the light and the setting.

Part 4: the base

Four requirements come out of Part 2, and they are unusually specific for a creative look.

1. Soft at both ends. L* 14.2 under L* 87.9 is a curve with no hard shoulder and no hard toe.
2. Saturation maintained. C* 18.9 is moderate. Not a desaturated look, not a saturated one.
3. Tolerant of uncontrolled colour temperature, because that is the entire lighting condition.
4. No competing per-hue signature, because the recipe needs to place red low and yellow high without arguing with the base about it.

Astia satisfies all four, and it is the only one that does. Fujifilm publishes it as soft at both ends "while saturation is maintained", and engineered for mixed and uncontrolled colour temperature. Requirements one, two and three are the manufacturer's own description of the simulation. Requirement four follows from Astia having the least opinionated hue rendering among the candidates.

Why Nostalgic Neg. Lost, since it was the queue's hypothesis

The queue proposed Nostalgic Neg. With a confident argument: its amber is anchored in the shadows, warm sepia is amber, and the one property that made it wrong for Austurbane makes it right here.

The measurement is what defeats it, and the defeat is precise rather than approximate. Nostalgic Neg.'s amber is red and yellow together, low in the tone scale. The corpus shadows carry a* +7.95 and b* +2.58. The red is there. The yellow is not. Nostalgic Neg. Would deposit yellow in exactly the band this look keeps clear, and Fujifilm states its amber "does not change easily when adjusted via white balance alone", so there is no dialling it back out afterwards.

This is worth recording as a method result, over and above the base decision it settled. The hypothesis was reasonable, it was arrived at from the written entry, and it was wrong in a way no amount of reading could have exposed. It took thirty photographs and a colour-space conversion. The queue's own instruction for this look, that the images have to be looked at rather than parsed, turned out to be right for a better reason than the one it gave.

The rest of the field

Part 5: how two global controls make a split-tone look

The camera has no split-toning control. It has a Kelvin value and a two-axis shift, and both are global. The look is nonetheless reachable, for a reason worth spelling out.

The Kelvin offset supplies yellow. Because the yellow arrives with the illuminant, it lands on the surfaces the illuminant is actually lighting, which are the bright ones. Nothing about this is a tone-curve trick. It is the subject doing the work, and it is why this recipe is more dependent on shooting the right room than most in this folder.

The WB Shift supplies red. Fujifilm's grid runs Red against Cyan and Blue against Yellow, with no green axis, so Red and Blue together produce a magenta nudge: red with the yellow taken back out. Applied globally, a fixed magenta bias is plainly visible where chroma is low and effectively invisible where chroma is already high. Shadow chroma in this corpus is low. Highlight chroma is b* +14. The same absolute bias therefore reads in one band and vanishes in the other.

+2 Red and +2 Blue is small on purpose. The shadows need roughly five units of a* beyond what the Kelvin offset already provides, and the highlights must stay near a* +2.7. A heavier shift reddens the highlights and collapses the separation.

This is the part of the recipe most likely to be wrong in the field, and the recipe says what would falsify it: if the shadows will not go red without taking the highlights with them, the mechanism is too weak and the split has to come from the lighting instead.

Part 6: the settings that follow

• DR400 is chosen by a measurement rather than by habit. The highlight that has to survive is a yellow one at b* +14, and a clipped highlight is neutral white. Two stops of protection keep the most distinctive measured feature alive. The usual objection, that DR modes lift everything below the highlights, is not a cost here, because the target black is lifted anyway.
• Highlight −2 and Shadow −1 are small pushes on a base that is already soft at both ends. Shadow stops at −1 because DR400 is lifting too, and the pair should land near L* 14 rather than overshoot into milk.
• Clarity −2 stands in for soft focus, which the CARI entry names twice and which a recipe cannot actually deliver, because it is a lens and diffusion decision. Clarity is a local-contrast operator and moves in the right direction. It is not the same thing, and the recipe says so rather than pretending.
• Sharpness −1, not lower. Wood grain, laminate, stone and the tooth of textured paper are literal subjects in this corpus. Softness belongs at the macro scale.
• Color Chrome Effect Strong acts on already-saturated colours by giving them tonal separation. In a frame of mahogany, brass and oxblood on a soft base, that is the exact problem it exists to solve.
• Grain Weak and Small, because commercial print and transparency are clean stock. Enough for a print surface, not enough to claim fast film.

Part 7: where it sits in the bank

This is the fifth Astia recipe, after Pastel Dream, Golden Hour Glow, Clean Girl and Cool White, and it uses the base for a property none of the others touch: tolerance of an uncorrected cast rather than softness or high-key rendering.

It pairs with Austurbane by construction, which is why the queue ranked them together. Same staged-object subject, opposite decade, opposite temperature, and as it turns out opposite base: Classic Chrome's cool shadows against Astia's neutrality, hard tone against soft. The pair is more useful now than when it was proposed, because the two recipes disagree about almost everything.

Three neighbours it should not be confused with. Revival House is warmer and a decade earlier, and its warmth is uniform rather than split. Clay Season is warm by hue but restrained in saturation, where this one keeps chroma at 18.9. North Light is the neutral interiors recipe, which is what this becomes if you correct the white balance properly.

Part 8: honest limits

• No frames have been shot with it. Everything above is a target derived from other people's photographs plus a colour-adaptation model.
• The endpoints are measured from reproductions of print, not from negatives. Fit for a JPEG recipe, unfit for any claim about an emulsion.
• The 400 K offset is the one number that came from a model rather than from a photograph. It is the most likely thing in the recipe to be off, and test 2 in the recipe is designed to check it directly.
• A reference tells you what a look is and never whether a recipe reproduces it. The measurement in Part 2 characterises the corpus. It says nothing about whether these settings hit it, and only test shots can.
• Soft focus is not delivered. Clarity −2 moves in the right direction and is not a diffusion filter.

Last updated: 2026-09-08