A new method is presented for focused image recovery from two blurred images which are taken by a CCD camera with different camera parameter settings. The focused image is obtained through actual point spread function (PSF) using the constrained least squares filter. Subbarao et. al. proposed an approach that the focused image is obtained through deconvolution in the Fourier domain using the Wiener filter. Subbarao's method requires the estimation of noise parameter, which is not known as a priori knowledge. This causes less accurate results in focused image recovery. On the other hand, the application of constrained least squares filtering to image restoration is optimal for each given image and requires knowledge only of the noise mean and variance. This is very useful for its flexibility. This approach fives more accurate focused image than the previous method.One of the difficulties of the image restoration problem is finding exact PSF which makes the blurred image. The actual PSF is obtained by the calibration of camera levels is used to find line spread function (LSF). The obtained LSF can be used to compute its actual PSF directly using the separable optical transfer function. The new method has been implemented on an actual camera system, and the experimental results of focused image recovery are provided and discussed.