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Method for small detail restoration in digital images

A digital image and restoration method technology, applied in image enhancement, image communication, image data processing, etc., to achieve the effect of preventing noise amplification

Inactive Publication Date: 2007-09-26
SAMSUNG ELECTRONICS CO LTD
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

However, there is no detection to classify which regions are suitable for augmentation and which are not

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  • Method for small detail restoration in digital images
  • Method for small detail restoration in digital images
  • Method for small detail restoration in digital images

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Embodiment Construction

[0013] FIG. 1 shows a block diagram of an SDR system 100 implementing a fine detail recovery (SDR) method according to an embodiment of the present invention. Assume an input image f(x, y) of width M and height N, ie of size M×N, where the coordinate (x, y) denotes the considered pixel in the image at x column y row. According to the present invention, the system 100 performs the SDR method on an input image f(x,y) of size M×N, which results in an output image g(x,y) of the same size.

[0014] The input image f(x, y) is mainly processed by three main processes (functions) in the system 100: (1) by a cascaded denoiser (denoiser) 102, fine detail recovery (SDR) filter 104, Detail extraction by low pass filter (LPF) 106 , and mixer 108 ; (2) smoothness checking by smoothness checker 114 ; and (3) fine detail detection by fine detail detector 116 . Once the results from these three processes are obtained, their product is obtained at node 110, which is then amplified in amplifier...

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Abstract

A small detail restoration (SDR) system implements an SDR method for processing digital images, especially in DTV applications prior to image resampling process in a scaler unit. The SDR system performs three image processing functions: detail extraction, smoothness checking, and small detail detection on an input image. The results of the three processing functions are combined, amplified and added back to original image to obtain the final resulting output image. The SDR method is applied in the texture or small detail area of image while the strong edge area is not enhanced. For example, in DTV applications, the SDR method is suitable for enhancing the digital image prior to image resampling process in the scaler unit.

Description

technical field [0001] The present invention relates to digital image processing, and more particularly to fine detail restoration in digital images. Background technique [0002] In digital image processing, image enhancement techniques are generally used to make the result perceptually better than the original. The fine detail restoration (SDR) method is a generalized version of a common image enhancement technique called "unsharp masking". Unsharpness masking is one of the fundamental tools of the printing and publishing industry. The result of unsharp masking is basically an addition between the original image and the upscaled high-pass filtering of the original image. However, conventional unsharp masking still lacks many protection mechanisms suitable for digital television (DTV) applications. For example, not only sharp edges, textures, and fine detail areas are enhanced, but also noisy areas. However, there is no detection to classify which regions are suitable f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/14H04N5/21G06T5/00
CPCG06T5/004G06T1/00G06T5/00G06T5/20H04N5/208
Inventor 苏拉庞·勒特拉坦纳帕尼克金永择朱胜
Owner SAMSUNG ELECTRONICS CO LTD
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