Samsung Electronics Co., Ltd.

Samsung Electro-mechanics Co., Ltd.

Young-jin Yoo

Seong-deok Lee

Won-hee Choe

Seong-Deok Lee

Du-Sik Park

Young-su Moon

Si-hwa Lee

Ho-cheon Wey

Ho-young Lee

Jae-guyn Lim

Jae-hyun Kwon

Seung-sin Lee

Dae-su Chung

Hyun-Wook Ok

Ho-lin Lee

A noise-reduction method and apparatus are provided. The noise-reduction method includes estimating activity levels of regions in an input image; and applying different weights to a large noise filter kernel and a small noise filter kernel according to the estimated activity levels, wherein the estimating includes calculating a noise level of the input image, generating a binary image by calculating signal-to-noise ratios (SNRs) of pixels of the input image and by comparing the SNRs of the pixels of the input image with a predefined threshold, and reducing binary data boundaries in the binary image.

Noise-reduction method and apparatus

The present invention relates to a method and apparatus for reducing noise. A method of reducing noise according to an aspect of the present invention includes calculating a noise level of a reference pixel forming an input image, determining a weighted value to be allocated to the reference pixel based on similarity of a reference window including the reference pixel with respect to at least one comparative window existing in a comparative region of the input image and having the same size as the reference window, and the calculated noise level of the reference pixel, and filtering the input image using the determined weighted value.

Method and apparatus for reducing noise

Provided are a method and apparatus for simultaneously reducing various kinds of noises in an image output from an image sensor equipped to a camera. The image noise reducing method includes: determining a color reference value, which corresponds to a corrected value of the color value of a current pixel, based on the difference values between the color value of the current pixel among pixels of an image and the color values of neighboring pixels around the current pixel; determining unified filter kernel coefficients, which represent the weights of the current pixel and the neighboring pixels, based on the similarities between the determined color reference value and the color values of the neighboring pixels; and reducing a noise in the color value of the current pixel by weighted-averaging the color value of the current pixel and the color values of the neighboring pixels using the unified filter kernel coefficients.

Method and apparatus for simultaneously reducing various kinds of noises from image

A noise reduction method, medium, and system. The noise reduction method includes calculating a noise level of an input image and removing noise from a central pixel within a window of a predetermined size in the input image using a weight determined based on a difference between signal intensities of the central pixel and a plurality of adjacent pixels within the window and the calculated noise level.

Noise reduction method, medium, and system

Provided are a noise reduction apparatus having an edge enhancement function and a method thereof, in which edges in an input image can be prevented from being blurred when reducing noise in the input image and a clear output image can be obtained by reducing edge discontinuities. The noise reduction apparatus includes a window setting module which sets a portion of an input image as a window, an edge-information detection module which detects edge information regarding the window, an image processing module which performs an image processing operation on the window, and an output-image generation module which generates an output image by reflecting the edge information into one or more windows obtained by the image processing operation.

Noise reduction apparatus having edge enhancement function and method thereof

Provided is an apparatus and method for enhancing an image by optimizing exposure and grayscale. The apparatus includes a component-extracting unit separating luminance signals and color signals from input image signals; a luminance-enhancing unit enhancing the luminance of the luminance signals; and a contrast-enhancing unit dividing the luminance signal having the enhanced luminance into one or more local areas, and enhancing the contrast of the luminance signal having the enhanced luminance for each local area.

Method and apparatus for enhancing image, and image-processing system using the same

An apparatus and a method for reducing noise from an image sensor are provided. The apparatus includes a noise-estimation unit which estimates a noise level representing an image frame expressed as a component in a color space, a filter-strength-calculation unit which determines filter strength based on the estimated noise level, and a filter-application unit which filters pixels constituting the image frame according to the determined filter strength.

Method and apparatus for reducing noise of image sensor

An apparatus and method for reducing noise of an image sensor are provided. The apparatus includes a noise level setting module setting a noise level representing an image frame expressed as a component in a color space; a kernel generation module generating a kernel for filtering pixels that constitute the image frame based on the set noise level; and a filter application module convoluting the pixels using the generated kernel and normalizing the pixels using the convolution result. Since noise generated by the image sensor can be adaptively reduced, the quality of an output image can be improved.

Apparatus and method for reducing noise of image sensor

A method and an apparatus are provided for estimating noise determination criteria in an image sensor. The method includes calculating a color characteristic value for each of a plurality blocks constituting an input image, comparing the color characteristic value of a first block among the blocks with a initial noise criterion, sorting the color characteristic value of the first block as a first group of a color characteristic class and accumulating a result of the comparing into the first group, and modifying the initial noise criterion using a result of the accumulating and calculating a first group noise criterion to be applied to corresponding blocks belonging to the sorted first group of the color characteristic class.

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Guri-si, South Korea

Young-jin Yoo