CASIA OpenIR  > 智能制造技术与系统研究中心  > 多维数据分析
汪雪林; 文伟; 彭思龙,
Source Publication中国图象图形学报,
AbstractAn image super—resolution algorithm based on wavelet—domain local gaussian model is proposed. Wavelet—domain local gaussian model approximates the local probability distribution of the wavelet coefficients with a single gaussian function.Because the model adaptively characterizes the local statistics of real—world images,the algorithm presented in this paper specifies the prior distribution of the real world image through it and converts the image super—resolution problem to a constrained optimization one which can be solved with the conjugate gradient method.Experimental results show that the algorithm properly retrieves various kinds of edges and the PNSR and subjective visual effect of the reconstructed images are improved significantly.
Keyword图像超分辨率 / 小波变换 / 局部高斯模型 / 共轭梯度法
Document Type期刊论文
Corresponding Author汪雪林
Recommended Citation
GB/T 7714
汪雪林,文伟,彭思龙,. 基于小波域局部高斯模型的图像超分辨率[J]. 中国图象图形学报,,2004,9(8)(2004年08期):941-946.
APA 汪雪林,文伟,&彭思龙,.(2004).基于小波域局部高斯模型的图像超分辨率.中国图象图形学报,,9(8)(2004年08期),941-946.
MLA 汪雪林,et al."基于小波域局部高斯模型的图像超分辨率".中国图象图形学报, 9(8).2004年08期(2004):941-946.
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