![]() Apple illustration by Zooey Liao/CNETĭemosaicking has been around for decades, with gradual refinements to cope with difficult subjects like hair tangles or fabric patterns.Īnd demosaicking has become even more complex with pixel binning technology that can group 2x2, 3x3 or even 4x4 pixel patches together into larger virtual pixels. This diagram of an Apple iPhone sensor shows another level of complexity, the ability either to use 2x2 pixel groups as one larger pixel through "pixel binning" or to use each pixel individually for maximum resolution, with even more processing required. So take a moment to consider some of the subtleties in this era when photography technology is in such rapid flux.Įach pixel on most image sensors captures only red, green or blue color information a digital camera has to invent extra data so each pixel has data for all three colors. You probably don't want the complete rejection of AI photo processing any more than you want fakery to swamp your social media feed. Photos are an immensely important part of our digital lives, and after talking to dozens of experts, I'm convinced they'll remain so despite the trust problem. ![]() Art is meant to be interpreted, not trusted." When I'm wearing my photojournalist hat, ethically I have a standard that I'm held to. On the photojournalism side, there's more trust. "If you're looking at a portrait of somebody, you should expect there to be some truth in that, but it's probably been retouched - maybe there are blemishes removed. "To say that photography should be trusted as a whole is a disservice to photography and art," Garretson said. For him, truth in photography is on a sliding scale. Jeremy Garretson, a professional photographer in New York, is acutely aware of these context differences as he shifts among photojournalism, event photography, portraiture and landscapes. Building trust into photos when you need it.Trusting photos from friends and family.Taking photos beyond their original pixels.How much processing is too much? Is that moon photo real?.The human interpretation cameras add to photos.Digital photography 101: From light to JPEG.Now Photoshop, smartphone image processing and generative AI make those analog-era alterations look primitive. In reality, photography has always been more complex.ĭecades ago, photographers steered the process with film chemistry, lens selection, shot framing and darkroom alterations. It's tempting to think of photography as an exercise in capturing the truth, turning a fleeting moment's light into a record we can store in an album or share online. But even that involves a huge amount of processing. My own preference, shaped by my appreciation for history and part-time work as a photojournalist, is to stick closer to reality. Smartphones are now making similar decisions on their own as you tap the shutter button. ![]() With a sweep of my mouse, Photoshop could generate a nice patch of blue sky to replace an annoying dead tree branch cluttering my shot of luscious yellow autumn leaves. Topaz Labs' Photo AI uses a different form of AI to zap the noise speckles that are degrading a photo of a dancing child I took inside a dark Alaskan lodge. Lightroom includes a handy AI-powered tool to select the sky, letting me darken it for more color and drama. ![]() It's a thorny question I've faced with thousands of my own photos, and now it's become even thornier: How much can you edit a photo before it stops becoming true? ![]()
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