The Essence of Creation of Allah's Creatures Through Tafakur: Study of Takhrij and Syarah Hadith

This study aims to discuss the hadith about the creation of creatures. This study uses a qualitative approach by applying a descriptive-analytical method. The formal object of this research is the science of hadith, while the material object is the hadith about the creation of creatures in the history of Bukhari No. 2955. The results and discussion of this study indicate that the status of quality hadith hasan li ghairihi meets the qualifications of maqbul ma'mul bih for Islamic practice. This study concludes that the hadith narrated by Bukhari No. 2955 is relevant to be used as motivation and enthusiasm in efforts to increase faith through tafakur activities to understand the essence or purpose of God's creation

Medical images protection and authentication using hybrid DWT-DCT and SHA256-MD5 hash functions

© 2017 IEEE. This paper deals with a blind digital watermarking technique for the ownership protection and content authentication of X-ray and MRI medical images. Extreme care is required before embedding watermarking information in medical images, to protect the image quality to avoid the wrong diagnosis. The proposed watermarking technique contains a robust watermark for the ownership protection and fragile watermarks for the content authentication. In the watermarking technique, the medical image is divided into regions and the watermark information is embedded in both the transform domain and the spatial domain. The proposed watermarking technique was successfully tested on a variety of X-ray and MRI medical images and offered high peak signal to noise ratios, similarity structure index measure values and wavelet domain signal to noise rations

Colorizing gray level images by using wavelet filters

© 2019 IEEE. This paper discusses a new algorithm to produce colored version of gray scale natural still images. This algorithm employs artificial neural network (ANN) to predict RGB channels using the Discrete Wavelet Transform (DWT). A group of natural color images are used to train three ANNs. The trained networks estimate low resolution RGB layers of the gray scale image which are the best match to the trained images. The colored version of the image is produced form the predicted RGB layers and information form grayscale image. The performances of the new algorithm are analyzed subjectively and objectively using the peak signal to noise and Structural Similarity, as well as it is compared to similar algorithm based on discrete cosine transform. Acceptable colorized images were obtained from different still images