Multiexposure image fusion is an effective high dynamic range imaging method. The fused high-dynamic-range image contains additional details and information. Currently, most conventional multiexposure image fusion algorithms suffer from detail loss and color distortion, affecting further image observation and processing. To improve the clarity, detail information, and color authenticity of the fused image, a high dynamic range imaging method based on YCbCr spatial fusion is proposed. The red-blue-green (RGB) image is converted to the YCbCr color space, an improved moderate exposure index is proposed to fuse the luminance component with multiresolution weighting, and the chrominance component is fused using the threshold-based weighting method. Experimental results show that the visual effect of the fused image obtained using the proposed method appears more real and exhibits better color expressiveness and the definition is considerably improved, which can well address the problems of color distortion and information loss in conventional high dynamic range imaging methods based on the RGB color space.