Versatile Video Coding (VVC) introduces advanced techniques such as sophisticated intraprediction mechanisms that significantly improve compression efficiency. However, the increased complexity in intraprediction presents new challenges in computational load and power consumption, essential considerations for efficient video coding. This paper proposes a novel framework that combines discrete wavelet transforms (DWT) and histogram analysis to optimise the prediction directions in VVC. Through selective reduction of prediction directions based on dominant texture orientation and minimising residual energy, the framework achieves enhanced computational efficiency while maintaining video quality. Experimental results confirm its effectiveness, showing minimum rate distortion performance and superior encoding efficiency compared to other methods in the literature.