Salam, rekan Nawala! Semoga kalian selalu dalam keadaan sehat.
Ini adalah Nawala IAES dari Institute of Advanced Engineering and Science. Hari ini kami akan berbagi kabar tentang restorasi citra. Restorasi citra mengacu pada proses memperbaiki kualitas dan penampilan citra digital yang telah terdegradasi atau rusak noise, keburaman, artefak kompresi, atau bentuk distorsi lainnya. Teknik restorasi gambar bertujuan untuk memulihkan gambar asli semirip mungkin dan mengurangi efek degradasi. Altaie (2021) melakukan penelitian terkait restorasi citra menggunakan guided filtering dan inverse filter. Uraian lebih lengkap terkait penelitian tersebut dapat dilihat pada laman berikut:
Restoration for blurred noisy images based on guided filtering and inverse filter
Rusul H. Altaie
The development of complex life leads into a need using images in several fields, because these images degraded during capturing the image from mobiles, cameras and persons who do not have sufficient experience in capturing images. It was important using techniques differently to improve images and human perception as image enhancement and image restoration etc. In this paper, restoration noisy blurred images by guided filter and inverse filtering can be used for enhancing images from different types of degradation was proposed. In the color images denoising process, it was very significant for improving the edge and texture information. Eliminating noise can be enhanced by the image quality. In this article, at first, The color images were taken. Then, random noise and blur were added to the images. Then, the noisy blurred image passed to the guided filtering to get on denoised image. Finally, an inverse filter applied to the blurred image by convolution an image with a mask and getting on the enhanced image. The results of this research illustrated good outcomes compared with other methods for removing noise and blur based on PSNR measure. Also, it enhanced the image and retained the edge details in the denoising process. PSNR and SSIM measures were more sensitive to Gaussian noise than blur.
Computer vision adalah bidang ilmu multidisiplin dari kecerdasan buatan (AI) dan computer science yang berfokus pada kemampuan komputer atau mesin untuk menafsirkan dan memahami objek visual seperti gambar dan video. Razzok dkk. (2022) memanfaatkan teknologi restorasi citra untuk meningkatkan hasil dari analisis computer vision. Penelitian ini berfokus pada deteksi gambar pejalan kaki. Adapun hasil dari penelitian yang mereka lakukan dapat diakses pada laman berikut:
Mohammed Razzok, Abdelmajid Badri, Ilham El Mourabit, Yassine Ruichek, Aïcha Sahel
Pedestrian detection has so far achieved great success in normal illumination, while pedestrians captured in extreme weather are often ignored. This paper investigates the importance of studying the effects of weather conditions on the recognition task, such as blurring and low contrast. Many image restoration techniques have recently been proposed, but are still insufficient to remove weather effects from images. We present our strong new pedestrian recognition system against climate situations, which is based on locating contours cues by applying multiple edge filters and extracting multiple features from images such as census transform (CT), modified census transform (MCT), and local gradient pattern (LGP) without performing any image restoration algorithm. The next stage involves finding the most discriminative characteristics using feature selection (FS) techniques. Finally, we use the final feature vector as an input to a radial basis function-based support vector machine classifier (RbfSVM) for pedestrian recognition. Experiments are performed on the daimler pedestrian classification benchmark dataset. Results show that the area under the curve (AUC) and the detection rate of our model are less affected by weather conditions compared to other common models like histogram of oriented gradients (HOG) and gabor filter bank (GFB) detectors.
Beberapa artikel di atas merupakan bagian kecil dari penelitian mengenai teknologi retorasi citra. Untuk mendapatkan informasi lebih lanjut, pembaca dapat mengunjungi laman International Journal of Electrical and Computer Engineering (IJECE) maupun IAES International Journal of Artificial Intelligence (IJ-AI) secara GRATIS melalui tautan berikut: https://ijece.iaescore.com/ dan https://ijai.iaescore.com/.
redaksi: I. Busthomi
editor: S. D. Cahyo