Content-based image retrieval (CBIR) uses the contents of images to represent and access the images. This paper focus on retrieving the image by separating images into its three coloromponents R, G and B and for that Discrete Wavelet Transformation is applied. Then Wavelet based Generalized Gaussian Density (GGD) is applied which is used for modeling the coefficients from the wavelet transforms. After thatit is given to Histogram of Oriented Gradient (HOG) for extracting its feature vectors with Relevant Feedback technique is used. The performance of this approach is calculated by accuracy and it confirms that this method is efficient for image retrieval.