| Class / Patent application number | Description | Number of patent applications / Date published |
|---|
| 382262000 | Median filter | 7 |
| 20080273811 | Image Processing Method and Apparatus - Disclosed is an edge sharpening method using maximum and minimum filters. In an embodiment of the present invention, the edge region of an input image signal is detected, minimum and maximum signals are generated for the detected edge region, the input signal of the detected edge region is compared with the average signal of the minimum and maximum signals, and the average of the input signal and the maximum signal is output if the input signal is larger than the average signal, the average of the input signal and the minimum signal is output if the input signal is smaller than the average signal, and the input signal is output if the input signal is equal to the average signal. Meanwhile, median filtering, using a window perpendicular to the direction in which the edge sharpening is performed, is performed on the region on which the edge sharpening has been performed. | 11-06-2008 |
| 20100098348 | METHOD AND DEVICE FOR REMOVING IMAGE NOISE BASED ON THE MEDIAN FILTER - A method and an apparatus for image denoising based on medium filter is disclosed according to the present invention. Such method and apparatus may be used to remove linear noise and random noise for the sensor, as well as the bad points in the sensor image, and to prevent over-denoising. The technical solutions includes selecting three groups of pixels from neighboring pixels of a current pixel, calculating medians Φ1, Φ2 and Φ3 for the pixels in each group; calculating a reference luminance Y: Y=Φ2+[(Φ1+Φ3−2*Φ2]*h*[1−k*var], where var=Φ3−Φ1; determining whether the current pixel (cur_pixel) is a bad pixel; letting a temporary variable (tmp_data) be Φ1 if the current pixel is a bad pixel; letting a temporary variable (tmp_data) be the current pixel value (cur_pixel) if the current pixel is not a bad pixel; determining whether the current pixel is located on an edge. If the current pixel is determined to be located on the edge, the reference luminance Y is limited to a range of [tmp_data−edge_limit , tmp_data+edge_limit], the current pixel value is updated with the limited reference luminance Y and the denoising process ends. If the current pixel is determined not to be located on the edge, the value of |Y−tmp_data| and the value of avoid_over_noise are compared. If |Y−tmp_data|| 04-22-2010 | |
| 20100246992 | Content-Dependent Scan Rate Converter with Adaptive Noise Reduction - A content-dependent scan rate converter with adaptive noise reduction that provides a highly integrated, implementation efficient de-interlacer. By identifying and using redundant information from the image (motion values and edge directions), this scan rate converter is able to perform the tasks of film-mode detection, motion-adaptive scan rate conversion, and content-dependent video noise reduction. Adaptive video noise reduction is incorporated in the process where temporal noise reduction is performed on the still parts of the image, thus preserving high detail spatial information, and data-adaptive spatial noise reduction is performed on the moving parts of the image. A low-pass filter is used in flat fields to smooth out Gaussian noise and a direction-dependent median filter is used in the presence of impulsive noise or an edge. Therefore, the selected spatial filter is optimized for the particular pixel that is being processed to maintain crisp edges. | 09-30-2010 |
| 20120076432 | Median filtering method and apparatus - A median filtering apparatus and method for removing noise and improving an image quality with respect to all types of input images are provided. The median filtering apparatus may receive an input of N pieces of data, may form a data set including the N pieces of data, may calculate a difference array having an N×N size based on the N pieces of data in the data set, may sum component values for each column of the difference array, and may calculate an index of a column having a smallest value among sum values that are obtained by the summing operation and that are greater than or equal to a preset value. | 03-29-2012 |
| 20120321213 | REAL-TIME APPLICATION OF FILTERS BASED ON IMAGE ATTRIBUTES - Systems, methods, and computer readable media for automatically modifying digital image data in accordance with preferences of a user. When a user accesses a set of digital image data over a network using a computer system, the computer system automatically reads an identifier associated with the set of digital image data and applies at least one digital image filter to the set of digital image data, where the at least one digital image filter is correlated with or mapped to the associated identifier. The user is able to define the identifiers, the filters, and the mapping (correlation) between the identifiers and the filters, thus establishing image display preferences for the user. | 12-20-2012 |
| 20130279824 | MEDIAN FILTERING APPARATUS AND METHOD - A median filtering apparatus and related method for finding out a median from 2r+1 input data, which includes 2(r+1) comparators, a counter, a circuit to obtain a minimum, a register, a state machine, and an adder. 2r+1 comparators of the comparators compare input data with a first predetermined value and compare the 2r+1 input data with an output value of the register. The counter counts the number of input data that are not larger than the first predetermined value or the output value of the register of the input data. The circuit finds out a minimum value of the input data that are larger than the first predetermined value or the output value of the register of the input data and a second predetermined value. The remaining one comparator of the 2(r+1) comparators compares the number counted by the counter with “r”. | 10-24-2013 |
| 20160253788 | DEVICE FOR REMOVING NOISE ON IMAGE USING CROSS-KERNEL TYPE MEDIAN FILTER AND METHOD THEREFOR | 09-01-2016 |
