Nokia Corporation

Nokia Technologies Oy

Mejdi Trimeche

Marius Tico

Markku Vehviläinen

Radu Ciprian Bilcu

Alessandro Foi

Markku Kalevi Vehvilainen

Sakari Tapio Alenius

Karen Egiazarian

Vladimir Katkovnik

Tom Pylkkanen

Dmitriy Paliy

The specification and drawings present a new method, apparatus and software product for enhancing a dynamic range of an image with a multi-exposure pixel pattern taken by an image sensor of a camera for one or more color channels, wherein a plurality of groups of pixels of the image sensor have different exposure times (e.g., pre-selected or adjusted by a user through a user interface using a viewfinder feedback, or adjusted by a user through a user interface after taking and storing RAW image, etc.). Processing of the captured image for constructing an enhanced image of the image for each of the one or more color channels can be performed using weighted combination of exposure times of pixels having different pre-selected exposure times according to a predetermined criterion.

Multi-exposure pattern for enhancing dynamic range of images

The specification and drawings present a new method, apparatus and software product for image stabilization of an image taken with a fixed (i.e., pre-selected) multi-exposure pattern for at least one color channel by an image sensor of a camera, wherein a plurality of groups of pixels of the image sensor have different pre-selected exposure times for said at least one color channel. The camera can be a part of, e.g., an electronic device such as mobile phone or a portable electronic device.

Image stabilization using multi-exposure pattern

This invention relates to a method for improving image quality of a digital image captured with an imaging module comprising at least imaging optics and an image sensor, where the image is formed through the imaging optics, the image consisting of at least one color component. In the method degradation information of each color component of the image is found and is used for obtaining a degradation function. Each color component is restored by said degradation function. The image is unprocessed image data, and the degradation information of each color component can be found by a point-spread function. The invention also relates to a device, to a module, to a system and to a computer program product and to a program module.

Restoration of color components in an image model

An apparatus, method, mobile station and computer program product are provided for filtering noise from a digital signal. In particular, a signal-dependent noise model is used that provides the pointwise (or pixelwise) standard deviation of the temporal noise of raw data outputted from a digital imaging sensor as a function of the image intensity. In addition, unlike conventional noise models, the standard deviation of the noise (&#x3c3;) is a parameterized function, where the parameters are key characteristics of the digital imaging sensor. These parameters may include, for example, the pedestal level (p), the quantum efficiency (q), and the analogue gain (&#x3b1;) associated with the digital imaging sensor.

Apparatus, method, mobile station and computer program product for noise estimation, modeling and filtering of a digital image

A method and an related apparatus for performing a white balance operation on an image with pixels, wherein global colour gain values common for substantially all pixels of the image are first determined. Then local colour gain values for individual pixels of the image are determined based on analyses of a local window comprising said individual pixel and a number of adjacent pixels. Thereafter, final colour gain values for individual pixels of the image are determined as a weighted average of the global and the local colour gain values, and a white balance operation is performed on the image using the final colour gain values.

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Tampere, Finland

Mejdi Trimeche