Temporal-Acoustic Emotion Estimation via Deep Neural Networks

Cartoonization of images is an engaging field that merges art and technology, creating visually appealing transformations of standard images.This paper proposes a novel dual-model approach for image cartoonization integrated with a secure key-based recovery mechanism.In the first model, a cartoonized image is generated and encrypted using a key, enabling secure transmission.The original image can be regenerated using the key and the encrypted cartoonized image.The second model incorporates an XOR-based encryption methodology, ensuring robust security while following a similar recovery process.Experimental results demonstrate the efficiency of these models in maintaining image quality and ensuring data confidentiality, paving the way for advancements in secure visual data transformation.