In recent years, to save bandwidth and storage space, images are usually compressed to reduce data volume, which leads to the loss of image details and affects the super-resolution (SR) performance. SR of compressed images is a key technique for addressing this problem. We propose the compressed-image super-resolution using enhanced attention network (CISREAN). First, the task is divided into two subtasks: image decompression and SR. Each subprocess introduces an enhanced residual module (ERM) with an attention mechanism. The ERM consists of several wide-activation residual blocks (WARBs) and an attention unit called the cascading residual attention (CRA) block. A WARB achieves better reconstruction than traditional image processing with the same computational complexity, and the CRA extracts more useful information in feature mapping even with fewer channels. This makes the ERM light and effective. Next, initial features are selected for wider inception and less blocking by overlapping extractions from the compressed image during decompression by convolutional layers. After completing both subprocesses, an end-to-end network is trained; it reduces compression artifacts, performing SR simultaneously. Extensive experiments on JPEG images with different quality factors show that CISREAN provides state-of-the-art performance based on objective metrics and subjective visual quality.

中文翻译：

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使用增强的注意力网络对压缩图像进行超分辨率

近年来，为了节省带宽和存储空间，通常会压缩图像以减少数据量，这会导致图像细节丢失并影响超分辨率（SR）性能。压缩图像的SR是解决此问题的关键技术。我们提出了使用增强注意力网络（CISREAN）的压缩图像超分辨率。首先，该任务分为两个子任务：图像解压缩和SR。每个子过程都引入了带有注意机制的增强型残差模块（ERM）。ERM由几个广域激活残留注意事项（WARB）和一个称为级联残留注意事项（CRA）的注意事项单元组成。与传统的图像处理相比，WARB在相同的计算复杂度下实现了更好的重构，CRA即使在较少的通道中也能在特征映射中提取更多有用的信息。这使得ER​​M轻巧有效。接下来，通过在卷积层解压缩过程中从压缩图像中进行重叠提取来选择初始特征，以实现更宽的起始度和更少的阻塞。在完成两个子过程之后，将对端到端网络进行训练；它减少了压缩伪像，同时执行了SR。对具有不同品质因数的JPEG图像进行的大量实验表明，CISREAN基于客观指标和主观视觉质量提供了最先进的性能。在完成两个子过程之后，将对端到端网络进行训练；它减少了压缩伪像，同时执行了SR。对具有不同品质因数的JPEG图像进行的大量实验表明，CISREAN基于客观指标和主观视觉质量提供了最先进的性能。在完成两个子过程之后，将对端到端网络进行训练；它减少了压缩伪像，同时执行了SR。对具有不同品质因数的JPEG图像进行的大量实验表明，CISREAN基于客观指标和主观视觉质量提供了最先进的性能。