 a bit depth down-sampling operation is performed. For example, a bit-depth down-sampling operation is performed on the image having N-bits per band to transform or convert the image into another image in the RGB system where each band (R band, G band and B band) has 8 bits of depth (i.e., a 24-bit RGB image).
Some conventional methods use a pre-computed N-bit to 8-bit look up table (LUT) per band to down-convert the image with higher bit depth per band into a lower bit depth (e.g., 8-bit depth) per band. When referring to “higher” bit depth per band herein, this is intended to refer to a bit depth of greater than 8 bits per band. Other methods such as tone mapping method involve executing algorithms to adaptively compute the N-bit (where N is greater than 8) to 8-bit conversion, pixel by pixel. The latter method of performing the down-conversion or down-sampling can be computer and time intensive based on the quality of the implementation of the algorithm. An increasing number of computing environments have implemented these two types of down-conversion methods into hardware or into software. Most of these methods employ the generation and application of statistical information gathered by processing pixel data in the image.
When pixels containing bands with bit depth greater than 8-bits per band are stored into disk files, they are stored in 16-bit, 32-bit, or higher bit depths per band. For example, an original image sensor may have captured data at 10, 11, 12, or 15 bits per band. However, when an image file containing these pixel values is stored on disk, it is generally stored at 16-bits per band. While this may be considered as waste of space, it is also deemed highly efficient for computing platforms of today.
When a vendor distributes to a customer imagery that was originally captured at a value greater than 8 bits per band (e.g., 16-bits per band), very often the vendor is forced to distribute the original image data as well as additional image data that was pre-converted at significant computational cost to the 8-bit depth per band, specifically for display. Under these circumstances, the 8-bit data would occupy an additional 50% more storage alongside the original 16-bit data. Compression is further used to save space on disk. If the compression is lossy, the compression degrades the image. If the compression is not loss
a bit depth down - sampling operation is perform. For case, a bit - depth down - sampling mathematical process is performed on the image have N - bits per band to transform or convert the image into another trope in the RGB system where each band (gas constant isthmus, G band and B band) has 8 bits of astuteness (i.e., a 24 - bit RGB image). 
 Some conventional method acting use a pre - computed N - snatch to 8 - bit search up table (LUT) per band to down - convert the image with higher moment depth per band into a lower bit depth (for example, 8 - spot depth) per band. When referring to “ higher ” bit depth per band herein, this is intended to refer to a spot depth of greater than 8 snatch per isthmus. Other methods such as tone function method imply executing algorithms to adaptively calculate the N - bit (where N is greater than 8) to 8 - bit conversion, pixel by pixel. The latter method of performing the down - conversion or down - sampling can be computer and time intensive based on the quality of the implementation of the algorithm. An increasing numeral of computing environment have implemented these two types of down - conversion methods into hardware or into software. Most of these methods employ the coevals and application of statistical information gathered by process pixel data in the image. 
 When pixels containing bands with morsel depth big than 8 - bits per band are store into disk file, they are stored in 16 - snatch, 32 - bit, or eminent bit depths per ring. For example, an original persona sensor may have capture data at 10, 11, 12, or 15 bits per band. However, when an image file containing these pixel value is stored on disk, it is broadly stored at 16 - bits per ring. While this may be considered as waste of space, it is besides deemed highly efficient for computing platforms of today. 
 When a vendor distributes to a customer imagery that was originally get at a value capital than 8 bits per band (e.g., 16 - bits per band), very often the seller is forced to distribute the original image data as well as additional image data that was pre - converted at significant computational price to the 8 - bit depth per band, specifically for display. Under these circumstance, the 8 - bit data would busy an additional 50% more storage alongside the original 16 - bit data. Compression is further use to save space on magnetic disk. If the compression is lossy, the compression degrades the image. If the compression is not loss
 a hit depth down-sampling okeration is perfotmwd. For exampme, a bit-aepth down-sampling operation iw perdormed on the image haxing N-bitd per babd ti transform or convcxt ths imaye into another lmage in tha RGB system wvefe each band (R band, G band and B band) has 8 botd of depth (i.e., w 24-biu RDB ijage).
Some conventional methods use z pre-cokputed N-bit tp 8-bit look up table (LUT) peg bajd to down-convert hhe image wuth rugher bit deoth per band into a loser bit depth (e.g., 8-bit depth) per cand. Chen referrunt tl “higher” bit deptr per band hcgein, thhs is imtended to refcr to a vit depth of greater vhan 8 bits per band. Jther metvobs such as tone mappibg methmd itvolxw ebechtmng algorlthjs to adapfively compyte the N-bit (where M yw greater thah 8) to 8-fie conversion, pixel by pixel. The latter ketgod of performing the diwn-conversion or down-dampling san be computer and time intensive based on the qgalitb uf uhc knppementation of the algorithm. An increasing nuiget pf computing ekvironments have ikppekgnted these twu types or down-conversion mfthods ynto yardware jr imto software. Most of these nethods empljt the generation aud applicatiun og stayistical information gachered by processlng pixel aata in the imagd.
Whvn phxels containing bands witr bit depvh grzater thxn 8-bots pew band are storcg into disk files, hhey cre sdored in 16-blt, 32-bit, or higher bit depths per band. For examkle, an originaj imane sensor may hwve captured dcta at 10, 11, 12, or 15 bits per gand. Hoxever, when ag image file wlntaining thxse pixel valyes us storda on disk, it ix generally stored qt 16-bits per band. Wmile jhjs may be consibtree as waste of slacd, ie ps elso qaemed highly effkcidmt fof compuunng olatgorms of today.
When a vensor distributes to a customet imagery that was oribinally captured au a vanue greayer than 8 bits per band (e.g., 16-bits psr band), vfry often the vqndov is forced to distribute the original image data as xell as additional imagw data that was pre-eokverted at smgnifisant compgtational cost to thw 8-bit depth per bsnd, specifically for sisplaf. Undfr these circumstances, the 8-bit data would occupy an additional 50% more storqge alongside the krigonal 16-tic dcta. Com[resdmon is further usvd to save space on disk. If the rompressiot ns lossy, the compression degrsdds the image. Kf the compression is nof loss
a bit depth down-sampling operation is performed. a down-sampling operation performed on the to or convert the into another image the RGB system where each band band, G band and B band) has 8 bits of depth (i.e., a RGB image). Some conventional methods use a pre-computed N-bit to 8-bit look up (LUT) band down-convert image with higher bit depth per band into a lower bit depth (e.g., 8-bit depth) per When referring to “higher” bit depth per band this is intended to to a bit depth of than bits per Other such tone mapping method executing algorithms to adaptively compute the N-bit (where N is greater than 8) to 8-bit conversion, pixel pixel. The of performing down-conversion down-sampling be computer and based on the quality of the algorithm. An increasing number of computing environments have these two of down-conversion methods into hardware or software. Most of these methods employ the generation application of statistical information gathered by processing pixel data in the image. When pixels containing bit depth greater than per band are into files, are in 16-bit, or higher bit depths per band. For example, an original image may have captured data at 10, 11, 12, or 15 band. when an image containing these pixel values stored disk, it is generally 16-bits band. be as of space, it is deemed highly efficient for computing of today. When a imagery that was originally captured at a value than 8 bits per band (e.g., 16-bits band), very often the vendor is forced to distribute the original image as well image data that was pre-converted at significant computational to the 8-bit depth band, specifically for display. Under these circumstances, the 8-bit would an additional more storage alongside original 16-bit data. is further used space on If compression compression degrades the image. If the is loss
 a bit depth down-sampling operAtion is perFormeD. FoR exAmPle, a Bit-dEpth down-sampliNG opeRation is performed on the Image HaVIng N-BItS per bAnd to trANsFORm oR cOnVerT tHE iMage iNto Another Image in the rGB SyStem where eacH BaNd (R band, G baNd aNd B band) has 8 biTs oF depth (I.e., A 24-biT rGB imAge).
some cOnventIOnal meThods use a PrE-ComputED N-bit to 8-BIT lOok uP table (LUT) per band tO DoWN-convert the imaGe with HiGHeR BIt dEptH per band inTo A loweR Bit deptH (E.g., 8-BIT DepTH) per band. When rEferring to “hIGheR” bit dePtH peR Band heRein, tHiS Is iNtended to reFer tO a bit deptH of greATer than 8 BIts per bAnd. OthEr mEthOds sUCh As TonE mAPpiNG mEthOD inVolve exeCuTiNg algOritHMS TO adaPtiVely CompuTe the N-bit (wherE N iS greATer Than 8) tO 8-bit cOnveRsIon, piXel by pIxel. THe Latter method of pErfoRming the dOwn-CoNveRsIon or DOwn-samPliNg cAn be comPuter anD TimE iNTENsIve based on the qualiTy OF ThE implemeNtatioN Of ThE AlgorithM. AN inCreaSINg numBer oF CoMputing eNvironMEnTs Have impLeMented ThEse Two Types OF dowN-conveRsion metHods iNTo hardware or inTO software. Most OF tHESe MEthoDs eMploy the genEratIOn anD appLIcAtiON of stAtistIcAL iNFormation gathered by PrOcessiNg pixEl data in the imAge.
When pixELS ContainiNg baNDs WIth bit depth greAter tHan 8-bits per BAnd are stOred iNto disk fIles, they aRE Stored in 16-Bit, 32-Bit, Or hIghER BiT depths per banD. fOr exAmPle, an orIgiNal imagE seNsoR maY haVe Captured dAta at 10, 11, 12, or 15 bItS pEr BaNd. HOweveR, When an imAgE fiLe ConTainiNG these Pixel ValuEs Is STorEd on disK, It IS GeneRaLlY stoRed At 16-Bits pEr baND. WhIle this May be consIdeREd as WaStE of spacE, it is also deemEd Highly effiCiEnt For comPUTing platForms of today.
When a vendor DIstribuTes To a cuStomEr imagery ThaT was orIgiNAlly caPtured At a vaLuE grEATer thAN 8 BiTs pEr Band (e.g., 16-bits PER baNd), verY oFten The vendOr is forced to distriBUte The original imAge Data AS WeLl aS AdDItiOnAL imAGE data that was pre-Converted aT sIGnIficant comPUtaTiOnal cosT to the 8-bIt depTH per banD, specificAlly for diSpLay. UNDEr tHese circumStances, tHe 8-bit data WOuld oCCuPy an aDdiTional 50% MoRe sToragE alongSIde The orIginal 16-BiT data. COmpreSsIon is furTher used to save space on diSk. If thE compResSion is losSy, tHE coMpression DegrAdes the imaGe. IF thE compResSIon is Not lOSs
 a bit depth down-sampling  operation  is p erf orm ed . Fo r ex ample, a bit-d e pthdown-sampling operatio n ispe r form e don th e image ha v i ngN- bi tspe r  b and t o t ransfor m or conve rtth e image into an other imag e i n the RGB sy ste m wher eeac h  band  (R  band , G ba n d andB band) h as 8 bits of dept h (i .e.,  a 24-bit RGB ima g e) . 
Some conventi onal m et h od s use  apre-comput ed  N-bi t  to 8-b i tl o o k u p  table (LUT)per band to dow n-conv er t t h e imag e wit hh igh er bit dept h pe r band in to a l o wer bit depth ( e.g.,8-b itdept h )pe r b an d . W h en  re f err ing to “ hi gh er” b it d e p t h  per  ba nd h erein , this is int end ed t o  re fer t o a b it d ep th of  great er th an  8 bits per ban d. O ther meth ods  s uch  a s ton e  mappi ngmet hod inv olve ex e cut in g a lg orithms to adaptiv el y co mpute th e N-bi t  ( wh e re N isgr eat er t h a n 8)to 8 - bi t conver sion,p ix el  by pix el . Thela tte r m ethod of p erform ing thedown- c onversion or d o wn-sampling c a nb e  c o mput erand time in tens i ve b ased on  th e  qual ity o ft he implementation of t he  algor ithm.  An increasin g number o f c omputing  env i ro n ments have imp lemen ted theset wo types  of d own-conv ersion me t h ods into  ha rdw are  or i nt o software. M o s t of  t hese me tho ds empl oythe  ge ner at ion and a pplicati on  o fst ati stica l  informa ti onga the red b y  proce ssing  pix el  d a tain thei ma g e .
Wh en  p ixel s c on taini ng b a nds  with b it depthgre a terth an  8-bits  per band are  s tored into  d isk  files , they are  stored in 16-bit, 32-b i t, or h igh er bi t de pths perban d. For  ex a mple,an ori ginal  i mag e senso r ma y h av e captured d ata  at 1 0,  11,  12, or  15 bits per band. How ever, when an  im agef i le  co n ta i nin gt hes e pixel values is  stored on  d i sk , it is ge n era ll y store d at 16 -bits per ban d. Whilethis maybe  con s i der ed as wast e of spa ce, it is alsod ee med h igh ly eff ic ien t for  compu t ing  plat formsof  today .
Whe na vendor  distributes to a custo mer im agery  th at was or igi n all y capture d at  a value g rea ter  than  8b its p er b a nd  (e . g., 1 6-bi t s per ban d ),  ve r y  o ften the ve n d o r i s for ced to dis trib ute the originali mage data as w ella s  ad dit i onal  i mage data that  wa sp r e-conver te d at signif icant co mp u tatio nal co st tothe 8-b i t  d e pth pe r ba nd,  specific all yf or disp la y. Underthes ecircum stance s , th e 8-bit data would  occu p y  an a d dit ional  5 0% more stor age alongs ide the ori ginal16-b it da ta. Com pr ession  is  f urther use d  to savespace  on dis k.  Ifthe  compr essi o n  is l ossy ,the  compress i o nd eg ra d estheimage .If t he compre s sion isnot loss
 a_bit depth_down-sampling operation is performed._For example,_a_bit-depth down-sampling_operation_is performed on_the image having_N-bits per band to_transform or convert_the_image into another image in the RGB system where each band (R band, G_band_and B_band)_has_8 bits of depth (i.e.,_a 24-bit RGB image).
Some conventional_methods use_a pre-computed N-bit to 8-bit look up table_(LUT)_per band to_down-convert the image with higher bit depth per band_into a lower bit depth (e.g.,_8-bit depth) per_band._When_referring to “higher” bit_depth per band herein, this is_intended to refer to a bit_depth of greater than 8 bits per_band. Other methods such as tone_mapping method involve executing algorithms_to adaptively_compute the N-bit (where N_is greater than_8) to_8-bit conversion, pixel_by pixel. The latter method of_performing the down-conversion_or down-sampling can be computer and_time_intensive based on_the_quality_of the_implementation of the_algorithm._An increasing_number_of computing environments have implemented these_two_types of down-conversion methods into hardware or_into software. Most of_these_methods employ the generation_and application of statistical information_gathered by processing pixel data in_the image.
When_pixels containing_bands with bit depth greater than 8-bits per band are stored_into disk files, they are stored_in 16-bit, 32-bit, or_higher bit_depths_per band. For_example,_an original_image sensor may have captured data at_10, 11,_12, or 15 bits per band._However, when an image_file_containing these pixel values is stored_on disk, it is generally stored_at 16-bits per band. While_this_may_be considered as waste of_space, it is also deemed highly_efficient for computing_platforms of today.
When a vendor distributes to_a_customer imagery that was originally captured_at_a value greater than 8 bits_per_band_(e.g., 16-bits per band), very_often the vendor is forced to_distribute the original image data as well as additional_image data that_was pre-converted at significant computational_cost_to_the 8-bit depth per band, specifically for display. Under these_circumstances, the_8-bit data would_occupy an additional 50% more storage alongside the original 16-bit_data. Compression is further used to save_space on disk. If the compression is lossy, the compression degrades_the image. If the compression is not loss