Detecting these program portions improves matlab system efficiency where these parts are either reprogrammed to do away with matlab performance bottleneck or moved to matlab hardware domain gaining matlab merits of this domain. There are profiling tools used to profile application programs corresponding to GNU Gprof profiler. GNU Gprof integrates an extra code with matlab computer software to be profiled causing faulty consequences and engineering significant execution time overhead. To tackle these issues, this paper proposes engineering application profiler called AddressTracer this is accurately able to evaluate performance matrices of any specific software portion. A set of benchmarks, Dijkstra, Secure Hash Algorithm, and Bitcount are profiled using AddressTracer, Airwolf and GNU program profiling tool Gprof, for engineering quantitative evaluation. The accomplished consequences show that AddressTracer gives accurate profiling outcomes compared to Gprof and Airwolf profilers. It also is possible for JPEG data to be embedded in other file types – TIFF encoded files often embed engineering JPEG image as engineering thumbnail engineering matlab main image; and MP3 files can contain engineering JPEG of cover art in matlab ID3v2 tag. Many JPEG files embed an ICC color profile color space. Commonly used color profiles include sRGB and Adobe RGB. Because these color spaces use engineering non linear transformation, matlab dynamic range of an 8 bit JPEG file is ready 11 stops; see gamma curve. A JPEG image contains engineering collection of segments, each beginning with engineering marker, each of which begins with engineering 0xFF byte, followed by engineering byte indicating what variety of marker matlab is. Some markers consist of just those two bytes; others are followed by two bytes high then low, indicating matlab length of marker genuine payload data that follows.