Color interpolation using data dependent triangulation
    4.
    发明公开
    Color interpolation using data dependent triangulation 有权
    Farbinterpolation mitdatenabhängiger三角测量

    公开(公告)号:EP1622393A1

    公开(公告)日:2006-02-01

    申请号:EP04425587.5

    申请日:2004-07-30

    CPC classification number: G06T3/4015 H04N9/045 H04N2209/046

    Abstract: A fast method of color interpolation of pixels of an image acquired by a color filtered digital sensor uses a very simple cost function that nevertheless produce interpolated images of good quality. The cost function is computationally simpler because it does not require the calculation of powers and square roots.
    An efficient triangulation algorithm that may be executed in far less time than prior art triangulation processes, while practically ensuring the same performances. The peculiarity of this triangulation algorithm consists in that on average it requires only two iteration steps, while the most accurate prior triangulation algorithm is completed only after four iteration steps.
    Optionally, the interpolation process may be followed by an anti-aliasing processing that effectively removes color artifacts that may be created during the interpolation process.

    Abstract translation: 由彩色滤波数字传感器获取的图像的像素的彩色插值的快速方法使用非常简单的成本函数,其仍然产生良好质量的内插图像。 成本函数在计算上更简单,因为它不需要功率和平方根的计算。 一种有效的三角测量算法,可以在比现有技术的三角测量过程更少的时间内执行,同时实际确保相同的性能。 这种三角测量算法的特点在于,平均来说,它只需要两个迭代步骤,而最精确的先验三角测量算法仅在四个迭代步骤之后完成。 可选地,内插处理之后可以是抗锯齿处理,其有效地消除可能在插值处理期间产生的颜色伪像。

    Method for compressing image data acquired from a Bayer color filter array
    5.
    发明公开
    Method for compressing image data acquired from a Bayer color filter array 有权
    通过拜耳滤色器阵列捕获压缩图象数据的方法

    公开(公告)号:EP1605705A1

    公开(公告)日:2005-12-14

    申请号:EP04425415.9

    申请日:2004-06-07

    Abstract: A particularly efficient and simple method for Bayer color filter array (CFA) compression requires practically negligible computational complexity and external memory requirement while yielding a substantially lossless performance of the compression-decompression processes.
    For each color channel, the process comprises the step of

    gathering Bayer pattern pixel values by pairs, each pair being composed by two successive pixels belonging to the channel along the scanning direction of the pixels of the image, thus each pair of values representing a current input vector;
    calculating a predictor vector of the input vector in terms of the differences between the values defining the input vector and a pair of prediction values generated according to a certain criterion, for representing a prediction error;
    quantizing each so calculated predictor vector according to a heavier or lighter degree of quantization depending on whether the predictor vector is representative of an area of relatively uniform color of the image or of an area of relatively abrupt changes of colors of the image;
    generating a multibit code representative of the quantized predictor vector of the input vector according to a certain compression ratio.

    A method for block coding of a flow of data, in particular video data, and corresponding device and computer-program product
    6.
    发明公开
    A method for block coding of a flow of data, in particular video data, and corresponding device and computer-program product 审中-公开
    一种方法,装置和计算机程序的数据流的块编码,在特定的视频数据

    公开(公告)号:EP1667461A2

    公开(公告)日:2006-06-07

    申请号:EP05110313.3

    申请日:2005-11-03

    Abstract: Described herein is a method for block coding of a flow (I) of data, in particular video data, via a compression operation (100; 200; 300) that comprises: applying to input-data blocks (B, CB; MB) in said data flow (I) a discrete-cosine-transform (DCT) operation (120; 220) and a quantization operation (130; 230) to produce compressed-data blocks (DB); subjecting said compressed-data blocks (DB) to a coding operation (235, 240) to obtain compressed output flows (O); and moreover applying an inverse-quantization operation (190; 290) and an inverse-discrete-cosine-transform (IDCT) operation (195; 295) on said compressed-data blocks (DB) to obtain reconstructed blocks (RB).
    The method envisages controlling (1000; 1100) generation of mismatch errors from said input-data blocks (B, CB; MB) via the operations of:

    detecting from said input-data blocks (B, CB; MB) and compressed-data blocks (DB) data blocks (DB; MB) that are liable to cause mismatch errors; and
    modifying said block (DB; MB) that are liable to cause mismatch errors prior to said coding operation (235, 240).

    Abstract translation: 在描述了一种用于数据流(I)的块编码的方法,尤其是视频数据,经由压缩手术确实包括(100; 300; 200):在施加到输入数据块(B,CB,MB) 所述数据流(I)的离散余弦变换(DCT)运算(120; 220)和一个量化操作(130; 230),以产生压缩数据块(DB); 使所述压缩数据块(DB)的编码操作(235,240)以获得压缩的输出流(O); 更超过施加到逆量化操作(190; 290)和在逆离散余弦变换(IDCT)操作(195; 295)在所述压缩数据块(DB),以获得重构的块(RB)。 该方法设想控制(1000; 1100)的生成,从失配误差的说通过的操作输入数据块(B,CB,MB): - 从所述输入数据块(B,CB,MB)检测和压缩数据 块(DB)的数据块(DB,MB)那样容易引起失配误差; 和 - 修改所述块(DB,MB)并易于之前说引起的失配误差编码手术(235,240)。

    Color interpolation method based on directional filtering of an image acquired by a digital sensor
    7.
    发明公开
    Color interpolation method based on directional filtering of an image acquired by a digital sensor 审中-公开
    基于Farbinterpolationsverfahren用数字传感器所拍摄的图像的方向依赖滤波器

    公开(公告)号:EP1643441A1

    公开(公告)日:2006-04-05

    申请号:EP05108265.9

    申请日:2005-09-08

    CPC classification number: G06T3/4015

    Abstract: Subdivision per basic color channels of grey level data generated by a color sensor is no longer required according to a novel color interpolation method of an image acquired by a digital color sensor generating grey levels for each image pixel in function of the filter applied to the sensor, by interpolating the values of missing colors of each image pixel for generating triplets or pairs of values of primary colors (RGB) or complementary hues for each image pixel. The method comprises the following steps:

    i) calculating spatial variation gradients of primary colors or complementary hues for each image pixel and storing the information of directional variation of primary color or complementary hue in look-up tables pertaining to each pixel;
    ii) interpolating color values of each image pixel considering said directional variation information of the respective values of primary colors or complementary hues stored in the respective look-up tables of the pixel for generating said multiple distinct values for each image pixel.

    Abstract translation: 每通过一个颜色传感器产生的灰度级数据的基本颜色通道分区不再需要雅丁施加到传感器由数字彩色传感器生成在过滤器的功能对于每个图像像素的灰度级获取的图像的新颖的色彩插值方法 ,通过内插每个图像像素的颜色缺失的值,用于产生原色(RGB)或互补的色调值的三元组或对每个图像像素。 该方法包括以下步骤:i)计算的基色的或互补的色调空间变化梯度为每个图像像素和存储在属于每个像素查找表原色或互补色调的定向变化的信息; ⅱ)内插考虑的原色或存储在像素的respectivement查找表为每个图像像素产生所述多个不同值的色调互补的respectivement值的所述定向变化信息的每个图像像素的色彩值。

    Method for image compression, related system and computer product therefor
    8.
    发明公开
    Method for image compression, related system and computer product therefor 有权
    系统与Verfahren zur Bildkodierung undzugehörigesRechnerprogrammprodukt

    公开(公告)号:EP1632902A1

    公开(公告)日:2006-03-08

    申请号:EP04020969.4

    申请日:2004-09-03

    Abstract: A method for image compression of a set of image data (I) includes operating a quantization operation (20; 150; 230) on the image data (I), said quantization operation (20; 150; 230) including controlling a compression factor by applying a scaled quantization level ( ), obtained by multiplying a first quantization level (Q) by a gain factor (G; Gs; Gi), the gain factor (G; Gs; Gi) being updated (100; 1000; 110; 300) as a function of a bit per pixel value (bpp) of a compressed image (O). The update operation (1000; 110; 300) includes an iterative procedure (110) comprising at least one iteration step (Eq. 6; Eq. 7) that provides for updating a current gain factor (G n+1 ) as a function of a previous gain (G n ) used for performing a previous compression step and as a function of a ratio (G n ) of the bit per pixel value (bpp) of the compressed image (O) at the previous compression step to a target bit per pixel value (T).
    Preferred application is in Joint Photographic Experts Group (JPEG) and digital still cameras.

    Abstract translation: 一组图像数据(I)的图像压缩方法包括对图像数据(I)进行量化操作(20; 150; 230),所述量化操作(20; 150; 230)包括通过 通过将第一量化级别(Q)乘以增益因子(G; Gs; Gi),被更新的增益因子(G; Gs; Gi)获得的缩放量化电平()(100; 1000; 110; 300 )作为压缩图像(O)的像素值(bpp)的位的函数。 更新操作(1000; 110; 300)包括迭代过程(110),该迭代过程包括至少一个迭代步骤(等式6;等式7),该迭代步骤用于更新当前增益因子(G n + 1) 用于执行先前压缩步骤的先前增益(G n)和作为先前压缩步骤的压缩图像(O)的比特每像素值(bpp)的比率(G n)的函数的目标比特 每像素值(T)。 联合图像专家组(JPEG)和数码相机的首选应用。

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