FORENSIC IMAGE ENHANCEMENT &
WHAT IS IMAGE ENHANCEMENT?
Image enhancement or image clarification is any process intended to improve the visual appearance of an image (Standard Guide for Forensic Digital Image Processing). Furthermore, images enhanced or clarified for the courtroom assist the trier of fact in making determinations about the subjects or events contained within them. In addition, images extracted from video recordings are also frequently enhanced for use in the courtroom.
IMAGE ENHANCEMENT PROCESSES WE OFFER:
LICENSE PLATE ENHANCEMENT
We have the ability to correct distorted or compressed license plate imagery from surveillance video evidence. In addition, we can correct the perspective of objects and clarify blurred images of cars in motion.
Deinterlacing converts interlaced video into a non-interlaced or progressive form. For example, we commonly see interlaced video signals in analog television, HDTV in 1080i format, some DVDs, and a smaller number of blu-ray discs.
PIXEL INTERPOLATION (ZOOM)
Photo interpolation increases the number of image pixels to allow for printing enlargements. And as a result, these enlargements boast higher quality than the original.
Image sharpening enhances the appearance of digital images. In fact, almost all lenses benefit from at least a small amount of sharpening.
IMAGE NOISE REDUCTION
Image noise refers to the pixels showing different intensity values instead of true pixel values. Moreover, the noise removal algorithm removes or reduces noise from the image.
Deblurring removes blurred artifacts from images. Generally, blurred images result from camera shake or a similar phenomenon.
REDUCE COMPRESSION ARTIFACTS
Compression artifacts are noticeable distortions of media caused by the application of lossy compression. Our processes reduce the JPEG compression amount in images.
Image stabilization sharpens images by compensating for slight shakes or vibrations in the camera. Generally, these vibrations occur when capturing photos by hand.
We use frame averaging techniques to obtain better statistics. For example, such statistics include image data or signal-to-noise ratio. Increasing the dwell time per pixel remains the primary way to improve these qualities. However, this may result in image artifacts, like charging.
Overexposure describes the process of exposing film to too much light. And as a result, the photograph becomes too bright. In digital photography, where there is no film, overexposure refers to extremely bright or washed-out images.