Image Denoising via CNNs: An Adversarial Approach
傳統的圖像去噪算法大多需要知道噪聲的先驗知識,如高斯濾波通常對高斯噪聲有效,而中值濾波通常對椒鹽噪聲有效等.文獻提出了使用卷積神經網絡的圖像盲去噪模型,不需要先驗信息,輸入爲單幅含噪圖像,輸出爲清晰圖像,模型結構圖如下: 模型結構包括兩部分: (1)多尺度特徵提取: 使用多個不同大小的卷積核獲取圖像特徵,以去除噪聲的影響,並將所有的特徵串聯.每個卷積核層的output channels分別爲:32
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