A method for reducing the vertical size of an image with a vertical filter

A size reduction and filter technology, applied in the field of image processing, can solve the problems of multiplier resource usage, area increase, design and implementation cost increase, etc., to save multiplier logic resources, reduce design and implementation costs, and achieve good image quality. Effect

Active Publication Date: 2017-09-15
TIANJIN JINHANG COMP TECH RES INST
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Problems solved by technology

[0003] At present, the implementation of real-time scaling filters for video images is mainly designed by FPGA or ASIC, while the traditional design method occupies a large number of line buffers and multiplier resources. These two types of resources cause FPGA logic resources and ASIC functions The direct factors of consumption and area increase have led to a significant increase in design and implementation costs, especially in the field of multi-channel video data parallel processing, resulting in huge cost consumption

Method used

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  • A method for reducing the vertical size of an image with a vertical filter
  • A method for reducing the vertical size of an image with a vertical filter
  • A method for reducing the vertical size of an image with a vertical filter

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Embodiment 1

[0030] The minimum vertical reduction ratio of the image of the vertical filter is 1 / 8 of the original size.

[0031] The first step is to determine the number of line buffers and selectors required by the vertical filter:

[0032] First, divide the range of [0,1] into three intervals (see image 3 ), and according to the principle of ensuring that all pixel data participate in filtering, each interval corresponds to a specific filtering order, which are:

[0033] ●Reduction ratio: SR 2 ~(1 / 2,1] corresponds to a filter order of 2;

[0034] ●Reduction ratio: SR 1 ~(1 / 4,1 / 2] corresponds to a filter order of 4;

[0035] ●Reduction ratio: SR 0 ~[0,1 / 4] corresponds to a filter order of 8;

[0036] min(LB_num 1 ) = tap_num 1 *max(SR 1 )=1*2=2;

[0037] min(LB_num 2 ) = tap_num 2 *max(SR 2 )=1 / 2*4=2;

[0038] min(LB_num 3) = tap_num 3 *max(SR 3 )=1 / 4*8=2;

[0039] Therefore, LB_num=max(min(LB_num 1 ), min(LB_num 2 ), min(LB_num 3 ))=2.

[0040] It can be seen th...

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Abstract

The invention discloses an image vertical size reducing method for a vertical filter. The method concretely includes the following steps that (1), the number of row caches and the number of selectors needed by the vertical filter are determined; (2), the vertical filter is designed according to the number, determined in the step (1), of the row caches; (3), based on the vertical filter designed in the step (2), data transmission with the image vertical size reduced is carried out. On the premise of ensuring image reduction quality, use of resources of the row caches is reduced significantly, and therefore the design cost of the image vertical filter is effectively controlled. The vertical filter structure can support reduction, in any proportion, of the image size in the vertical direction, when the reduction proportion is low, no image information is lost in filtering calculation, and good image quality can still be ensured.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to a method for reducing the vertical size of an image using a vertical filter. Background technique [0002] Whether it is in static image processing or video image processing, image size scaling is a very important link, which is widely used in digital TV, video surveillance, satellite imaging and other fields. When reducing the size of the image in the vertical direction, it is generally done by using a certain order of low-pass filter to down-sample the pixel data of each column of the image. Video images are usually transmitted pixel by pixel in the order of row scanning, so the traditional downscaling method must pre-cache each row of pixel data required for vertical filtering, and then perform vertical filtering when the calculation conditions are met calculate. In order to maintain the quality of the reduced image after downsampling, the filter used needs to determine the n...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/40
Inventor 杨硕周津杨阳
Owner TIANJIN JINHANG COMP TECH RES INST
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