Image super-resolution reconstruction based on attention and wide-activated dense residual network
نویسندگان
چکیده
éå¯¹å ¨å±åå±é¨é«ä½é¢ç©ºé´ä¿¡æ¯å©ç¨ä¸è¶³è导è´é建å¾å纹çç»è模ç³çé®é¢ï¼æåºä¸ç§åºäºæ³¨æåå宽æ¿æ´»å¯éæ®å·®ç½ç»çå¾åè¶ å辨çé建模åãé¦å ï¼å个ä¸å尺度ä¸å¹³è¡çå·ç§¯æ ¸è¢«ç¨æ¥å åæåå¾åä½é¢ç¹å¾ä½ä¸ºç©ºé´ç¹å¾è½¬æ¢çå éªä¿¡æ¯ãå¨æ·±å±ç¹å¾æ å°æ¨¡åä¸æ建èå注æåç宽æ¿æ´»æ®å·®åï¼å¹¶å©ç¨ä½é¢å éªä¿¡æ¯æ¥å¼å¯¼é«é¢ç¹å¾çæåã该宽æ¿æ´»æ®å·®åéè¿æ©å¤§æ¿æ´»å½æ°åçç¹å¾ééæ°æ¥æåæ´æ·±å±æ¬¡çç¹å¾å¾ï¼ä¸ææé çå ¨å±åå±é¨æ®å·®è¿æ¥å¨å 强æ®å·®ååç½ç»ç¹å¾ååä¼ æçåæ¶ï¼å¨ä¸å¢å åæ°æ åµä¸ä½¿å¾ææåç¹å¾çå¤æ ·æ§æ´å 丰å¯ãæåï¼å¯¹å¾å°çç¹å¾å¾è¿è¡ä¸éæ ·åé建以å¾å°æ¸ æ°çé«å辨çå¾åãå®éªè¡¨æï¼ææç®æ³å¨BSD100æ°æ®éä¸4åè¶ å辨çæ¶ï¼ç¸æ¯LatticeNet模åçPSNRææ æåäº0.14 dBï¼SSIMæåäº0.001ï¼å¨ä¸»è§è§è§æ¹é¢ï¼é建åºçå¾åå±é¨çº¹çç»èä¹æ´å æ¸ æ°ã
منابع مشابه
Residual Dense Network for Image Super-Resolution
A very deep convolutional neural network (CNN) has recently achieved great success for image super-resolution (SR) and offered hierarchical features as well. However, most deep CNN based SR models do not make full use of the hierarchical features from the original low-resolution (LR) images, thereby achieving relatively-low performance. In this paper, we propose a novel residual dense network (...
متن کاملSuper-Resolution Image Reconstruction Based on Guidance Image
Super-resolution framework uses multiple noisy low resolution images from camera to generate a higher resolution image that has better spatial resolution than any of the available low resolution images. Super-resolution is an ill-posed problem. A inherent difficulty is the challenge of inverting the image observation model without amplifying the effect of noise in the measured data. Classically...
متن کاملMAP-Based Image Super-resolution Reconstruction
From a set of shifted, blurred, and decimated image , super-resolution image reconstruction can get a high-resolution image. So it has become an active research branch in the field of image restoration. . In general, super-resolution image restoration is an ill-posed problem. Prior knowledge about the image can be combined to make the problem well-posed, which contributes to some regularization...
متن کاملImage Super-Resolution Reconstruction Based On L1/2 Sparsity
Based on image sparse representation in the shearlet domain, we proposed a 2 1 L sparsity regularized unconvex variation model for image super-resolution. The 2 1 L regularizer term constrains the underlying image to have a sparse representation in shearlet domain. The fidelity term restricts the consistency with the measured imaged in terms of the data degradation model. Then, the variable spl...
متن کاملImage Super-Resolution Reconstruction Based On Multi-Dictionary Learning
In order to overcome the problems that the single dictionary cannot be adapted to variety types of images and the reconstruction quality couldn’t meet the application, we propose a novel Multi-Dictionary Learning algorithm for feature classification. The algorithm uses the orientation information of the low resolution image to guide the image patches in the database to classify, and designs the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Guangxue jingmi gongcheng
سال: 2023
ISSN: ['1004-924X']
DOI: https://doi.org/10.37188/ope.20233115.2273