This paper presents a cost-efficient and secure framework for data storage in cloud environments, it uses Discrete Cosine Transform (DCT) for data compression and Ciphertext-Policy Attribute-Based Encryption (CP-ABE) for fine-grained access control. The framework focuses on some of the main challenges in cloud storage, such as storage costs minimization, data privacy and security along with swift access revocation. Framework significantly reduces storage overhead by integrating DCT which compresses image data effectively while maintaining data quality. This storage optimization strategy enhances the cost-effectiveness of cloud storage making it suitable for large-scale applications. CP-ABE provides a secure data access management by enforcing attribute-based encryption which enables flexible and precise control over who can access the data ensuring privacy and security even in untrusted cloud environments. It also provides a rapid access revocation to safeguard data from risks associated with unauthorized access which is a critical risk in dynamic cloud environments. Experimental evaluations shows that the framework minimizes storage costs by up to 50% while significantly improving data security and efficiency demonstrating that proposed framework is a practical and scalable solution for secure and cost-efficient data management, addressing the needs of modern cloud-based systems.