Photography

Light Source Recognition

Infers shooting conditions from facial or highlight colors to reproduce the intended image.

Light source recognition technologies analyze the face and color of highlight points to infer the light direction and adjust camera settings and processes to take images closer to the ones we see. Furthermore, it detects processing errors that occurred when images were taken, and optimizes the image as originally intended by the human brain.

Original image

Infers the light source (tungsten) and the area (interior) from the face and highlights.

Optimized image

Automatically enhances the white dress and skin tone, which tends to appear reddish, to ensure a beautiful final print.

Dynamic Range Compression Technology for Photos

Optimizes contrast to create an image that resembles what was actually perceived.

In the past, the only way to reproduce natural-looking high-contrast images was to rely on expert manual adjustment techniques. Using a technique known as dodging in which the exposure time in specific areas of the image is manually adjusted, it was possible to fine-tune contrast to create an image that resembled what was originally perceived.

Dynamic Range Compression Technology achieves the same dodging effect during digital processing, making it possible to achieve optimal image quality instantly, consistently, and automatically.

Original image

When printing a scene that contains strong contrasts, often the highlights end up washing out, while the dark areas just become black.

Optimized image

Even in high contrast scenes, details are sharp and clear in both the subject and the background.

Tone Correction Technology

Optimizes skin tones and/or high-contrast scenes such as landscapes.

Automatic correction of hard or soft tone images can achieve smooth, natural skin tones or emphasize the inherent contrast of images with both light and dark areas. Tone correction creates attractive natural photo prints, without changing facial color or saturation. In addition to highly accurate automatic correction (density and white balance), Tone Correction Technology creates optimum images for printing.

Image with soft tone (soft contrast)

Image optimized for printing

Image with hard tone (harsh contrast)

Image optimized for printing

Color Adjustment Technology

Boosts color matching accuracy to achieve the same color from different printing methods.

Commonly used color-matching methods based on ICC profiles can result in inferior color-matching precision because of characteristic differences between color measuring devices and printers, or inaccurate estimation from a color chart. Adjustment via device profile feedback is a particularly effective way to address this problem. Fujifilm is a leading company in featuring this technology in its products.

Process for color-matching of printing press color to printer output

1. 1. A target chart (A) output by the printing press is measured to produce a target profile reflecting the printing press color reproduction characteristics.
2. 2. A printer output color chart (B) is measured to create a profile of the printer's color reproduction characteristics.
3. 3. A device link profile is produced, indicating the color conversion necessary to reproduce the target color on the printer.
4. 4. Color is converted using the device link profile, and the chart data is output by the printer (B'). Color measurement is performed and the device link profile is corrected until color conforms to the target chart.

Hyper-sharpness Technology

Emphasizes image sharpness while minimizing noise.

While emphasizing the image's sharpness, this technology reduces noise in the image and the granularity of the film.

It conducts a high-precision separation of (unwanted) noise and significant (wanted) portions of the image based on extensive knowledge gained from the analyses of a wide variety of images.

Original image

After processing with Hyper-sharpness Technology

Face Detection Technology

Detects faces and determines the precise face area and exposure conditions. Automatically crops images or sets the proper exposure conditions for optimum results.

Detection method

People seem to detect other people's faces immediately, but actually, a complicated process takes place in the brain to do so. During growth and development, people become aware of the 'concept' of faces and things other than faces. When we see something, we instantaneously impose the characteristics of the image on our retinas, processing and calculating to see if the image conforms to our concept of a human face. The face detection in Image Intelligence™ is a sophisticated technology that mimics the working of the brain.

Scenarios for usage of face detection technology

Automatic cropping

By detecting the position of the face parts — eyes, mouth, etc. — it is possible to accurately infer the area of the face. This can be useful for automatic cropping and resizing when producing ID photos. In addition to repositioning, skin tones and other photo elements are also automatically enhanced simultaneously.

Camera-based Face Detection

Human faces are instantly and automatically detected, and focus and exposure are optimized to ensure the best results. Built into Fujifilm's FinePix digital cameras, Face Detection makes it possible to take attractive people pictures in a variety of shooting scenarios, including low light or night scenes.

1. 1. Face in sharp focus
2. 2. Optimized brightnes

Automatic Red-eye Correction

Automatically detects and corrects red eye.

Red-eye is caused by light from a flash that enters the eye, hits the retina, then is reflected back into the camera. With Fujifilm's face detection technology, the red-eye correction function thoroughly removes red-eye from all images and all eyes, whether blue, brown or black. When the corrected images are printed, eyes appear in their natural-looking color.

Face Recognition Technology

Evolved from face detection technology, incorporating the ability to identify individual faces.

Evolved from face detection technology, face recognition technology can now identify individual faces in images. With face recognition technology, you can select a face in a single photo and instantly search and display all the photos that contain the same face, making it possible to sort and index all the photos of a particular person.

Facial Skin Smoothing Function

Automatically enhances skin tone and texture to create smooth, attractive images.

Enables automatic enhancements of skin tone. This technology emulates mechanisms of the human eye that respond differently to high frequencies in an image, which oscillate at very short intervals, and low frequencies, which have longer intervals.

This sophisticated processing helps avoid harsh representations and achieves natural-looking facial images.

Professional Preference Image Processing Technology

Enhances local areas of the image to achieve preferred printing results.

This image processing technology facilitates quick fine-tuning of image tone and color. Tone and color can be corrected separately in the highlights, mid-range, or shadow sections of an image. Skin color and basic colors (Red, Green, Blue, Cyan, Magenta, Yellow) can be adjusted for hue, brilliance, and saturation. Relying on know-how accumulated in the course of developing image quality parameters for color film and color paper, color reproduction control enhances specific targeted areas to create pleasing, natural looking images.

Image shot under standard conditions

After processing with Professional Preference Image Processing Technology

Precision DSC Image Correction Technology

Simplifies enhancement of images with under/over exposure or color cast.

Digital camera images with under/over exposure and/or color cast can be easily corrected using image processing tailored to the specific tone profile of each digital camera, yielding images that closely resemble those shot under optimum conditions. Correction of saturation and color balance usually requires complicated adjustment of tone curves, but this technology now permits simplified enhancement of saturation and color balance to allow for variations in shooting conditions for all compatible digital camera models. This sophisticated technology maximizes the color reproduction design and analysis expertise amassed during the era of film photography.

When images are overexposed, blown-out highlights are not corrected. When images are underexposed, noise in shadow portions may be conspicuous under certain shooting conditions.