Abstract: There is provided methods, apparatuses and computer program products for obtaining a media presentation as a seed media; and obtaining one or more criteria for content extraction. Information relating to media presentations among a set of media presentations is examined to find out relevance information regarding the context and/or content of the media presentations by using the seed media and the one or more criteria. On the basis of the examination, one or more media presentations among the set of media presentations corresponding with the one or more criteria are extracted.

Abstract: Methods and apparatuses are provided for facilitating generation and editing of multiframe images. A method may include grouping a plurality of images into one or more groups of images. Each group of images may comprise a plurality of images depicting a common scene. The method may further include determining a reference image for at least one of the one or more groups of images. Each reference image may be associated with a respective group for which it was determined. The method may additionally include causing at least one reference image to be displayed to a user such that the user is enabled to select a displayed reference image to enhance using multiframe image processing to generate a multiframe image from a plurality of images from the group of images with which the selected displayed reference image is associated. Corresponding apparatuses are also provided.

Abstract: An image processing is applied in common to image data for a first image and to image data for a second image. The image data for the first image and the image data for the second image are moreover compared as a basis for matching a visual appearance of images for a stereoscopic presentation. The visual appearance can be matched in the current pair of images by adjusting at least one of the images accordingly and/or in future pairs of images by adjusting parameters of at least one of the image capturing components providing the image data.

Abstract: An apparatus comprising: a camera module configured to capture a first image of a subject with a first image capture parameter and at least one further image of substantially the same subject with at least one associated further image capture parameter; a reference image encoder configured to encode the first image into a first encoded image; a further image encoder configured to encode the at least one further image into at least one further encoded image; and a file compiler configured to combine the first encoding image and the at least one further encoded image into a first file.

Abstract: Methods and apparatuses are provided for facilitating generation and editing of multiframe images. A method may include grouping a plurality of images into one or more groups of images. Each group of images may comprise a plurality of images depicting a common scene. The method may further include determining a reference image for at least one of the one or more groups of images. Each reference image may be associated with a respective group for which it was determined. The method may additionally include causing at least one reference image to be displayed to a user such that the user is enabled to select a displayed reference image to enhance using multiframe image processing to generate a multiframe image from a plurality of images from the group of images with which the selected displayed reference image is associated. Corresponding apparatuses are also provided.

Abstract: 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 (?) 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 (?) associated with the digital imaging sensor.

Abstract: An image processing is applied in common to image data for a first image and to image data for a second image. The image data for the first image and the image data for the second image are moreover compared as a basis for matching a visual appearance of images for a stereoscopic presentation. The visual appearance can be matched in the current pair of images by adjusting at least one of the images accordingly and/or in future pairs of images by adjusting parameters of at least one of the image capturing components providing the image data.

Abstract: 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 colour component. In the method, the degradation information of each colour component of the image is found and is used for improving image quality. The degradation information of each colour component is specified by a point-spread function. Each colour component is restored by the degradation function. The image can be unprocessed image data. The invention also relates to several alternatives for implementing the restoration, and for controlling and regularizing the inverse process independently of the image degradation. The invention also relates to a device, to a module, to a system and to a computer program products and to a program modules.

Abstract: A method of improving image quality of a digital image is provided. In particular, the motion blur in an image taken in a long exposure time is reduced by dividing the exposure time into several shorter periods and capturing a series of images in those shorter periods. Among the images, one reference image is selected and the remaining images are registered in reference to the reference image by image warping, for example. After identifying the pixels in each of the remaining images and the corresponding pixels in the reference image, a weighting factor is assigned to each of the pixels in the remaining images based on the similarity in the pixel values between the remaining images and reference image. A weight average operation is carried out to sum the corresponding pixels in the reference and the remaining images to generate the final image.

Abstract: 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 (?) 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 (?) associated with the digital imaging sensor.

Abstract: The invention relates to the field of image processing and more specifically to image processing in a digital camera for taking panoramic pictures. The digital camera according the invention is adapted to produce an image of a target area when the area is swept by the camera. The camera comprises at least an image sensor comprising several detector lines wherein the image sensor creates picture elements, each of which contains information on one or more detector lines, a control unit that is adapted to control the operation of the camera and to detect the sweeping speed, and a memory for storing picture elements. The camera is adapted to record and store a sequence of picture elements, where the next picture element in the sequence is selected based on sweeping speed, and the camera creates an image from the stored sequence of picture elements.