针对新查表法（N-LUT）在计算彩色三维场景全息图时,查找表占用的存储空间大且计算速度较慢的问题，提出了深度和波长补偿N-LUT算法（DWC-N-LUT）快速生成彩色三维场景的全息图。将组成三维场景的点云分割为具有特定深度的一系列二维图像，并由提前存储的深度补偿因子计算某一深度二维图像红色（R）通道的基元条纹图（PFP），通过平移此PFP获取物光点R通道在全息面上的复振幅分布。利用波长补偿因子直接得到物光点绿色（G）通道和蓝色（B）通道的复振幅分布。用飞机模型和汽车模型进行的数字模拟实验表明：DWC-N-LUT法能够准确表现彩色三维场景的颜色和深度信息；物光点的复振幅引入随机相位可以有效降低再现像的相干噪声；DWC-N-LUT法与N-LUT法相比，查找表的存储空间减小了10倍以上，计算速度提高了约22%。

To solve the problem that the memory space is large and the calculation speed is slow in the novel look up table (N-LUT) method when calculating the color hologram three-dimensional scene. The depth and wavelength compensating N-LUT method (DWC-N-LUT) is proposed to generating color hologram three-dimensional scene fast. The point cloud, which compose three-dimensional scene, are sliced as a series of two-dimensional images with defined depth. The principle fringe pattern (PFP）for red (R) channel corresponding to one depth is obtained according to the pre-stored depth compensating factors. The complex amplitude of object point for R channel is acquired by shifting the PFP. The complex amplitude of object point for G and B channel is directly generated through multiplying that for R channel by wavelength compensating factors. Numerical simulation experiments with an airplane model and a car model indicate that the color and depth of three-dimensional scene can be precisely provided with DWC-N-LUT method. The coherent noise in the reconstruction images can be obviously eliminated by adding random phase to the complex amplitude of object point. The memory space of DWC-N-LUT method is 10 times less than that of N-LUT method, and the computational speed of the proposed method is approximately improved 22% comparing with N-LUT method.