Stroke (STK) is a neurological illness that progresses over time and can have an impact on individuals of any age, although it primarily affects the elderly. In recent times, STK is commonly referred to as a brain assault and has emerged as a major lifestyle disease that is responsible for a notable number of fatalities among people. Despite the high death rate, there is a good chance of recovery if prompt, accurate diagnosis and the best possible treatment are given. A computer-aided diagnosis system can be used to identify aberrant cell areas, which in turn can help medical professionals assess the likelihood and intensity of the disease. Since low-contrast images obscure important information such minute alterations in brain tissue, it might be challenging to discern between healthy and damaged regions, which can impede the accurate diagnosis of STKs. In this study, we introduce a hybrid approach to contrast enhancement that enhances STK gray-scale images, by combining global contrast adjustment (GCA) with contrast-limited adaptive histogram equalization equalization (CL-AHE). Global contrast adjustment (GCA) is performed following CL-AHE in order to enhance overall brightness and contrast.