CN113129216A - 一种倒车影像显示方法 - Google Patents
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Abstract
本发明的倒车影像显示方法,图像处理模块根据视觉显著性将倒车影像图像分为视觉显著性图像块和非视觉显著性图像块,对于视觉显著性图像块按照BM3D算法进行降噪处理,对于非视觉显著性图像块按照均值滤波算法进行降噪处理,将经过所述降噪处理的视觉显著性图像块和非视觉显著性图像块合成为最终所需的倒车影像传送到汽车显示屏进行显示,本发明中对于视觉显著性图像块采用BM3D算法进行降噪处理,得到的图像更易于人眼观看,便于驾驶员观察倒车影像画面,对于非视觉显著性图像块采用均值滤波算法进行降噪处理,可以在保持一定图像品质的同时加快降噪处理速度,便于计算机从整体上提高降噪处理速度。
Description
技术领域
本发明涉及汽车技术领域,更具体的说,本发明涉及一种倒车影像显示方法。
背景技术
随着汽车的普及,汽车倒车影像已经逐渐成为汽车的标配,通过汽车倒车影像可以辅助驾驶员观察后方情况,避免事故发生,现有技术中汽车倒车影像系统通常由图像采集模块、图像处理模块和汽车显示屏组成,图像采集模块采集的倒车影像通过图像处理模块进行转换后传送到汽车显示屏进行显示,但现有技术中图像处理模块对于采集到的倒车影像图像仅仅是进行数据格式的转换,原始影像直接传到汽车显示屏显示,如何增强倒车影像质量以获得更好的显示效果是业界面临的问题。
发明内容
本发明要解决的技术问题是提供一种倒车影像显示方法,可以增强倒车影像质量,便于驾驶员观察倒车影像画面,提高汽车的安全性。
为解决上述技术问题,本发明采用如下技术方案:
一种倒车影像显示方法,用于倒车影像处理系统,所述倒车影像处理系统包括有图像采集处理模块、图像处理模块和显示屏,该方法包括:
图像采集处理模块向图像处理模块发送倒车影像图像;
图像处理模块根据视觉显著性将倒车影像图像分为视觉显著性图像块和非视觉显著性图像块;
对于视觉显著性图像块按照BM3D算法进行降噪处理,对于非视觉显著性图像块按照均值滤波算法进行降噪处理;
将经过所述降噪处理的视觉显著性图像块和非视觉显著性图像块合成为最终所需的倒车影像传送到汽车显示屏进行显示。
与现有技术相比,本发明具有以下有益效果:
本发明的倒车影像显示方法,图像处理模块根据视觉显著性将倒车影像图像分为视觉显著性图像块和非视觉显著性图像块,对于视觉显著性图像块按照BM3D算法进行降噪处理,对于非视觉显著性图像块按照均值滤波算法进行降噪处理,将经过所述降噪处理的视觉显著性图像块和非视觉显著性图像块合成为最终所需的倒车影像传送到汽车显示屏进行显示,由于将倒车影像图像分为视觉显著性图像块和非视觉显著性图像块,对于视觉显著性图像块采用BM3D算法进行降噪处理,得到的图像更易于人眼观看,便于驾驶员观察倒车影像画面,而对于非视觉显著性图像块采用均值滤波算法进行降噪处理,可以在降低一定图像品质的同时加快降噪处理速度,便于计算机从整体上提高降噪处理速度。
附图说明
图1是本发明一种倒车影像显示方法的一个具体实施例流程图;
图2是本发明一种倒车影像显示方法中根据视觉显著性对倒车影像图像进行分块的一个具体实施例流程图。
具体实施方式
参考图1,该图是本发明一种倒车影像显示方法的一个具体实施例流程图,本实施例的汽车倒车影像系统包括图像采集模块、图像处理模块和汽车显示屏,该方法具体包括:
步骤S101,图像采集处理模块向图像处理模块发送倒车影像图像;
步骤S102,图像处理模块根据视觉显著性将倒车影像图像分为视觉显著性图像块和非视觉显著性图像块,具体实现时,例如,作为一个优选的方式,参考图2,可按照下述步骤对倒车影像图像进行分块,即:
步骤S1021,将倒车影像图像分割为不同的图像块,计算各个图像块的视觉显著性参数值;
步骤S1022,根据各个图像块的视觉显著性参数和视觉显著性分类阈值,将图像块分为视觉显著性图像块和非视觉显著性图像块;
需要说明的,具体实现时,可以采用基于区域的对比度(region-based contrast,RC)算法计算各个图像块的视觉显著性参数值,实际中也可以采用其他算法,这里不做具体限定;
步骤S103,对于视觉显著性图像块按照BM3D算法进行降噪处理,对于非视觉显著性图像块按照均值滤波算法进行降噪处理;
步骤S104,将经过所述降噪处理的视觉显著性图像块和非视觉显著性图像块合成为最终所需的倒车影像传送到汽车显示屏进行显示。
上述实施例中,为了提高倒车影像图像的显示质量,图像处理模块要对倒车影像图像进行降噪,但倒车影像图像中各个部分所需的图像品质是不一样的,例如人眼比较注意的部分,则图像品质要求高,人眼不注意的部分,则图像品质要求会降低一些,而如果对所有部分都进行降噪处理,则计算机处理器处理时间较长,效率不高,为此,本实施例中图像处理模块根据视觉显著性将倒车影像图像分为视觉显著性图像块和非视觉显著性图像块,对于视觉显著性图像块按照BM3D算法进行降噪处理,这样得到图像品质较高,但处理时间相对较长,对于非视觉显著性图像块按照均值滤波算法进行降噪处理,得到图像品质没有BM3D算法得到的图像品质好,但计算机处理器处理时间较快,最后将经过上述降噪处理后的图像合成为最终所需的倒车影像图像传送给显示屏进行显示,这里不再赘述。
需要说明的,本发明中视觉显著性可以从多个参数进行衡量,例如从颜色差异来区分或者从空间距离关系来区分,而视觉显著性参数值可以从颜色对比度或空间距离关系来计算,以一个具体的例子来说,例如,将倒车影像图像分割为N×N的图像块,将颜色对比度作为视觉显著性参数,计算各个图像块的颜色对比度,设置一个具有视觉显著性的颜色对比度值作为分类阈值,将各图像块的颜色对比度与颜色对比的分类阈值比较,从而可有效将图像分类为视觉显著性图像块和非视觉显著性图像块,另外,若将空间距离作为视觉显著性参数,则首先确定具有视觉显著性的区域,进而计算各个图像块与具有视觉显著性的区域的空间距离值,将各图像块的空间距离值与空间距离的分类阈值比较,也可将图像分类为视觉显著性图像块和非视觉显著性图像块,实际中也可以采用其他的视觉显著性参数及算法进行计算和分类,这里不做具体限定。
以上所述仅为本发明的较佳实施例而已,并不用以限制本发明,凡在本发明的精神和原则之内,所作的任何修改、等同替换、改进等,均应包含在本发明的保护范围之内。
Claims (3)
1.一种倒车影像显示方法,用于倒车影像处理系统,所述倒车影像处理系统包括有图像采集处理模块、图像处理模块和汽车显示屏,其特征在于,该方法包括:
图像采集处理模块向图像处理模块发送倒车影像图像;
图像处理模块根据视觉显著性将倒车影像图像分为视觉显著性图像块和非视觉显著性图像块;
对于视觉显著性图像块按照BM3D算法进行降噪处理,对于非视觉显著性图像块按照均值滤波算法进行降噪处理;
将经过所述降噪处理的视觉显著性图像块和非视觉显著性图像块合成为最终所需的倒车影像传送到汽车显示屏进行显示。
2.根据权利要求1所述的方法,其特征在于,图像处理模块根据视觉显著性将倒车影像图像分为视觉显著性图像块和非视觉显著性图像块具体包括:
将倒车影像图像分割为不同的图像块,计算各个图像块的视觉显著性参数值;
根据各个图像块的视觉显著性参数和视觉显著性分类阈值,将图像块分为视觉显著性图像块和非视觉显著性图像块。
3.根据权利要求2所述的方法,其特征在于,采用基于区域的对比度算法计算各个图像块的视觉显著性参数值。
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