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    • 4. 发明公开
    • 적응 이미지 압축시스템 및 그 방법
    • 自适应预测图像压缩系统及其方法
    • KR1020140027040A
    • 2014-03-06
    • KR1020130167793
    • 2013-12-30
    • 주식회사 큐램주식회사 핀그램
    • 위영철박성수안영훈
    • H04N19/00H04N1/41
    • H04N1/32277H04N19/124
    • Disclosed are a system and method for compressing an adaptive image. The method for compressing the adaptive image comprises the steps of: determining a characteristic of an image to be compressed by the system for compressing the adaptive image; determining a quantization scale factor (QSF) based on the determined characteristic of the image to be compressed by the system for compressing the adaptive image; generating an adaptive quantization table corresponding to the image to be compressed based on the determined QSF; and encoding the image to be compressed by using the generated adaptive quantization table. [Reference numerals] (110) Characteristic determining module; (120) QSF determining module; (130) Adaptive quantization table generating module; (140) Encoder; (AA) Image to be compressed; (BB) Compressed image
    • 公开了一种用于压缩自适应图像的系统和方法。 压缩自适应图像的方法包括以下步骤:确定用于压缩自适应图像的系统要压缩的图像的特性; 基于所确定的要由系统压缩的图像的特性来确定量化比例因子(QSF),以压缩自适应图像; 基于所确定的QSF生成与要压缩的图像相对应的自适应量化表; 以及通过使用所生成的自适应量化表对要压缩的图像进行编码。 (附图标记)(110)特征确定模块; (120)QSF确定模块; (130)自适应量化表生成模块; (140)编码器; (AA)要压缩的图像; (BB)压缩图像
    • 5. 发明授权
    • 적응 이미지 압축시스템 및 그 방법
    • 自适应预测图像压缩系统及其方法
    • KR101367777B1
    • 2014-03-06
    • KR1020120091873
    • 2012-08-22
    • 주식회사 큐램주식회사 핀그램
    • 위영철박성수안영훈
    • H04N19/00
    • G06T9/00H04N19/126H04N19/14H04N19/154H04N19/176H04N19/625
    • Disclosed are an adaptive image compression system and a method thereof. The adaptive image compression method comprises the steps of: judging characteristics of a target compressive image by the adaptive image compression system; determining a quantization scale factor (QSF) based on the characteristics of the target compressive image in which the adaptive image system is judged; producing an adaptive quantization table which is corresponding to the target compressive image based on the determined QSF; and encoding the target compressive image using the produced adaptive quantization table. [Reference numerals] (110) Characteristic judging module; (120) QSF determining module; (130) Adaptive quantization table production module; (140) Encoder; (AA) Target compressive image; (BB) Compressed image
    • 公开了一种自适应图像压缩系统及其方法。 自适应图像压缩方法包括以下步骤:通过自适应图像压缩系统判断目标压缩图像的特性; 基于所述自适应图像系统判断的目标压缩图像的特性来确定量化比例因子(QSF); 基于所确定的QSF产生对应于所述目标压缩图像的自适应量化表; 并使用所产生的自适应量化表对目标压缩图像进行编码。 (附图标记)(110)特征判断模块; (120)QSF确定模块; (130)自适应量化表生成模块; (140)编码器; (AA)目标压缩图像; (BB)压缩图像
    • 8. 发明授权
    • 지역적 이진화를 이용한 오브젝트 인식 시스템 및 그 방법
    • KR102226845B1
    • 2021-03-12
    • KR1020190022779
    • 2019-02-26
    • 주식회사 핀그램주식회사 큐램
    • 양성진위영철안영훈
    • G06K9/34G06K9/38G06K9/32G06K9/46
    • 지역적이진화를이용한오브젝트인식방법및 그시스템이개시된다. 상기오브젝트인식방법은오브젝트인식시스템이인식대상오브젝트가표시된이미지에서상기이미지의이진화대상영역의일부에제1이진화영역및 상기제1이진화영역을포함하며상기제1이진화영역보다일정비율넓은영역을가지는제1계수연산영역을설정하는단계, 상기오브젝트인식시스템이상기제1계수연산영역에포함된픽셀들의픽셀값들에기초하여제1이진화계수를결정하는단계, 상기오브젝트인식시스템이결정된상기제1이진화계수를통해상기제1이진화영역에대한이진화를수행하는단계, 상기오브젝트인식시스템이상기제1이진화영역이아닌타영역에제2이진화영역및 상기제2이진화영역을포함하며상기제2이진화영역보다넓은영역을가지는제2계수연산영역을설정하는단계, 상기오브젝트인식시스템이상기제2계수연산영역에포함된픽셀들의픽셀값들에기초하여제2이진화계수를결정하는단계, 및상기오브젝트인식시스템이결정된상기제2이진화계수를통해상기제2이진화영역에대한이진화를수행하는단계를포함한다.