Gopro, Inc.

Violaine Marie Mong-Ian Sudret

Guillaume Matthieu Guérin

Thomas Nicolas Emmanuel Veit

Marc Lebrun

Bruno Cesar Douady-Pleven

Guillaume Matthieu Guerin

Antoine Regimbeau

Sandra Vitorino

Téo Marcin

Téo Eddie Marcin

Sandra Fadel

Tone mapping for image capture may include accessing a first image detected using an image sensor; accessing an exposure parameter (exposure duration, or time, multiplied by ISO or gain) used to detect the first image; scaling pixel values of the first image by a scale factor inversely proportional to the exposure parameter to obtain a scaled image; determining a scene luminance based on an average of pixel values of the scaled image; determining a target luminance based on the scene luminance; determining a target histogram based on the target luminance; determining a first histogram of luminance values of the first image; determining a transfer function based on the first histogram and the target histogram; applying the transfer function to pixel values of the first image to produce a tone mapped image; and storing or transmitting an output image based on the tone mapped image.

Tone mapping for image capture

Adaptive acquisition control includes obtaining a processed image by an image capture apparatus, which includes, a target exposure component that obtains a target exposure value in accordance with target exposure input data, an aggregate gain component that obtains a target aggregate gain value and a remaining gain value in accordance with aggregate gain input data, an auto-exposure compensation component that obtains an auto-exposure compensation tone curve in accordance with auto-exposure compensation input data, a contrast control component that obtains a contrast control tone curve and a contrast control black point value, and a tone control driver that obtains a tone control tone curve and a tone control black point value, and an image signal processor that processes the current input image in accordance with the tone control tone curve and the tone control black point value to produce the processed image.

Adaptive acquisition control

Systems and methods are disclosed for image signal processing. For example, methods may include receiving an image from an image sensor; applying a filter to the image to obtain a low-frequency component image and a high-frequency component image; determining a first enhanced image based on a weighted sum of the low-frequency component image and the high-frequency component image, where the high-frequency component image is weighted more than the low-frequency component image; determining a second enhanced image based on the first enhanced image and a tone mapping; and storing, displaying, or transmitting an output image based on the second enhanced image.

Local tone mapping

Image analysis and processing may include a multiple-tone-control (MTC) unit configured to obtain a tone-control gain lookup table, a plurality of MTC gain lookup tables, wherein the input image is divided into a plurality of blocks and wherein the plurality of MTC gain lookup tables includes a respective MTC gain lookup table corresponding to each respective block from the plurality of blocks, MTC grid parameters, MTC weighting parameters, a tone-control gain based on the tone-control gain lookup table, a MTC gain based on at least one MTC gain lookup table from the plurality of MTC gain lookup tables, the MTC grid parameters, and the MTC weighting parameters, and an output value based on the tone-control gain and the MTC gain.

Multiple tone control

Growing community of inventors

Chatillon, France

Violaine Marie Mong-Ian Sudret